Communications of the ACM
Communications of the ACM - Special issue on parallelism
Machine Learning
Experiments on multistrategy learning by meta-learning
CIKM '93 Proceedings of the second international conference on Information and knowledge management
Method combination for document filtering
SIGIR '96 Proceedings of the 19th annual international ACM SIGIR conference on Research and development in information retrieval
On the Accuracy of Meta-learning for Scalable Data Mining
Journal of Intelligent Information Systems
Averaging regularized estimators
Neural Computation
Voting over Multiple Condensed Nearest Neighbors
Artificial Intelligence Review - Special issue on lazy learning
Validation of voting committees
Neural Computation
Boosting classifiers regionally
AAAI '98/IAAI '98 Proceedings of the fifteenth national/tenth conference on Artificial intelligence/Innovative applications of artificial intelligence
Bayesian radial basis functions of variable dimension
Neural Computation
Boosted mixture of experts: an ensemble learning scheme
Neural Computation
An Efficient Method To Estimate Bagging‘s Generalization Error
Machine Learning
Automatic sample-by-sample model selection between two off-the-shelf classifiers
AAAI '99/IAAI '99 Proceedings of the sixteenth national conference on Artificial intelligence and the eleventh Innovative applications of artificial intelligence conference innovative applications of artificial intelligence
Minimal cost complexity pruning of meta-classifiers
AAAI '99/IAAI '99 Proceedings of the sixteenth national conference on Artificial intelligence and the eleventh Innovative applications of artificial intelligence conference innovative applications of artificial intelligence
Statistical Pattern Recognition: A Review
IEEE Transactions on Pattern Analysis and Machine Intelligence
Papyrus: a system for data mining over local and wide area clusters and super-clusters
SC '99 Proceedings of the 1999 ACM/IEEE conference on Supercomputing
Optimal Linear Combination of Neural Networks for Improving Classification Performance
IEEE Transactions on Pattern Analysis and Machine Intelligence
A Multistrategy Approach to Classifier Learning from Time Series
Machine Learning - Special issue on multistrategy learning
MultiBoosting: A Technique for Combining Boosting and Wagging
Machine Learning
Meta-classifiers and selective superiority
IEA/AIE '00 Proceedings of the 13th international conference on Industrial and engineering applications of artificial intelligence and expert systems: Intelligent problem solving: methodologies and approaches
Machine Learning
Reconciling schemas of disparate data sources: a machine-learning approach
SIGMOD '01 Proceedings of the 2001 ACM SIGMOD international conference on Management of data
On Fusers that Perform Better than Best Sensor
IEEE Transactions on Pattern Analysis and Machine Intelligence
Recognizing Handwritten Digits Using Hierarchical Products of Experts
IEEE Transactions on Pattern Analysis and Machine Intelligence
Lazy learning: a logical method for supervised learning
New learning paradigms in soft computing
Learning to map between ontologies on the semantic web
Proceedings of the 11th international conference on World Wide Web
Evolving Stacked Time Series Predictors with Multiple Window Scales and Sampling Gaps
Neural Processing Letters
Probabilistic combination of text classifiers using reliability indicators: models and results
SIGIR '02 Proceedings of the 25th annual international ACM SIGIR conference on Research and development in information retrieval
Ensembling neural networks: many could be better than all
Artificial Intelligence
An almost surely optimal combined classification rule
Journal of Multivariate Analysis
The Role of Occam‘s Razor in Knowledge Discovery
Data Mining and Knowledge Discovery
Evolving Teams of Predictors with Linear Genetic Programming
Genetic Programming and Evolvable Machines
Using Decision Trees for Agent Modeling: Improving Prediction Performance
User Modeling and User-Adapted Interaction
Machine Learning
A Principal Components Approach to Combining Regression Estimates
Machine Learning
Using Correspondence Analysis to Combine Classifiers
Machine Learning
Linearly Combining Density Estimators via Stacking
Machine Learning
A perspective view and survey of meta-learning
Artificial Intelligence Review
Combining Classifiers with Meta Decision Trees
Machine Learning
Distributed Data Mining in Credit Card Fraud Detection
IEEE Intelligent Systems
Pattern Recognition Letters
Effect of pruning and early stopping on performance of a boosting ensemble
Computational Statistics & Data Analysis - Nonlinear methods and data mining
Distributed mining of classification rules
Knowledge and Information Systems
Synthesizing High-Frequency Rules from Different Data Sources
IEEE Transactions on Knowledge and Data Engineering
Analysis and synthesis of agents that learn from distributed dynamic data sources
Emergent neural computational architectures based on neuroscience
ECML '00 Proceedings of the 11th European Conference on Machine Learning
Improving Term Extraction by System Combination Using Boosting
EMCL '01 Proceedings of the 12th European Conference on Machine Learning
Stacking with an Extended Set of Meta-level Attributes and MLR
ECML '02 Proceedings of the 13th European Conference on Machine Learning
iBoost: Boosting Using an i nstance-Based Exponential Weighting Scheme
ECML '02 Proceedings of the 13th European Conference on Machine Learning
Advanced in Predictive Data Mining Methods
MLDM '99 Proceedings of the First International Workshop on Machine Learning and Data Mining in Pattern Recognition
Combining Multiple Models with Meta Decision Trees
PKDD '00 Proceedings of the 4th European Conference on Principles of Data Mining and Knowledge Discovery
Comparison of Two Classification Methodologies on a Real-World Biomedical Problem
Proceedings of the Joint IAPR International Workshop on Structural, Syntactic, and Statistical Pattern Recognition
Optimizing Classifiers by Genetic Algorithms
WAIM '00 Proceedings of the First International Conference on Web-Age Information Management
Parallel Techniques for Rule-Based Scene Interpretation
Proceedings of the Joint IAPR International Workshops on Advances in Pattern Recognition
Confidence Combination Methods in Multi-expert Systems
Proceedings of the Joint IAPR International Workshops on Advances in Pattern Recognition
A Framework for Classifier Fusion: Is It Still Needed?
Proceedings of the Joint IAPR International Workshops on Advances in Pattern Recognition
Shared Ensemble Learning Using Multi-trees
IBERAMIA 2002 Proceedings of the 8th Ibero-American Conference on AI: Advances in Artificial Intelligence
Solving Regression Problems Using Competitive Ensemble Models
AI '02 Proceedings of the 15th Australian Joint Conference on Artificial Intelligence: Advances in Artificial Intelligence
AI '99 Proceedings of the 12th Australian Joint Conference on Artificial Intelligence: Advanced Topics in Artificial Intelligence
AI '01 Proceedings of the 14th Australian Joint Conference on Artificial Intelligence: Advances in Artificial Intelligence
Arbiter Meta-Learning with Dynamic Selection of Classifiers and Its Experimental Investigation
ADBIS '99 Proceedings of the Third East European Conference on Advances in Databases and Information Systems
ICAPR '01 Proceedings of the Second International Conference on Advances in Pattern Recognition
Combining Multiclass Maximum Entropy Text Classifiers with Neural Network Voting
PorTAL '02 Proceedings of the Third International Conference on Advances in Natural Language Processing
Analysis and Synthesis of Agents That Learn from Distributed Dynamic Data Sources
Emergent Neural Computational Architectures Based on Neuroscience - Towards Neuroscience-Inspired Computing
Stacking for Misclassification Cost Performance
AI '01 Proceedings of the 14th Biennial Conference of the Canadian Society on Computational Studies of Intelligence: Advances in Artificial Intelligence
From Ensemble Methods to Comprehensible Models
DS '02 Proceedings of the 5th International Conference on Discovery Science
Experiments with Projection Learning
DS '02 Proceedings of the 5th International Conference on Discovery Science
Increasing the Number of Classifiers in Multi-classifier Systems: A Complementarity-Based Analysis
DAS '02 Proceedings of the 5th International Workshop on Document Analysis Systems V
An Evaluation of Grading Classifiers
IDA '01 Proceedings of the 4th International Conference on Advances in Intelligent Data Analysis
Functional Trees for Regression
IDA '01 Proceedings of the 4th International Conference on Advances in Intelligent Data Analysis
MCS '00 Proceedings of the First International Workshop on Multiple Classifier Systems
Multiple Classifier Systems Based on Interpretable Linear Classifiers
MCS '01 Proceedings of the Second International Workshop on Multiple Classifier Systems
Input Decimation Ensembles: Decorrelation through Dimensionality Reduction
MCS '01 Proceedings of the Second International Workshop on Multiple Classifier Systems
Information Analysis of Multiple Classifier Fusion
MCS '01 Proceedings of the Second International Workshop on Multiple Classifier Systems
Improving Product by Moderating k-NN Classifiers
MCS '01 Proceedings of the Second International Workshop on Multiple Classifier Systems
Stacking with Multi-response Model Trees
MCS '02 Proceedings of the Third International Workshop on Multiple Classifier Systems
MCS '02 Proceedings of the Third International Workshop on Multiple Classifier Systems
Multiple Classification Systems in the Context of Feature Extraction and Selection
MCS '02 Proceedings of the Third International Workshop on Multiple Classifier Systems
Multistage Neural Network Ensembles
MCS '02 Proceedings of the Third International Workshop on Multiple Classifier Systems
Trainable Multiple Classifier Schemes for Handwritten Character Recognition
MCS '02 Proceedings of the Third International Workshop on Multiple Classifier Systems
Constructing Web User Profiles: A non-invasive Learning Approach
WEBKDD '99 Revised Papers from the International Workshop on Web Usage Analysis and User Profiling
Decision Committee Learning with Dynamic Integration of Classifiers
ADBIS-DASFAA '00 Proceedings of the East-European Conference on Advances in Databases and Information Systems Held Jointly with International Conference on Database Systems for Advanced Applications: Current Issues in Databases and Information Systems
Boosting, Bagging, and Consensus Based Classification of Multisource Remote Sensing Data
MCS '01 Proceedings of the Second International Workshop on Multiple Classifier Systems
A refinement approach to handling model misfit in text categorization
Proceedings of the eighth ACM SIGKDD international conference on Knowledge discovery and data mining
Handbook of data mining and knowledge discovery
Handbook of massive data sets
Advanced Local Feature Selection in Medical Diagnostics
CBMS '00 Proceedings of the 13th IEEE Symposium on Computer-Based Medical Systems (CBMS'00)
Extracting symbolic rules from trained neural network ensembles
AI Communications - Special issue on Artificial intelligence advances in China
A comparative assessment of classification methods
Decision Support Systems
Improved Rooftop Detection in Aerial Images with Machine Learning
Machine Learning
Experts' Boasting in Trainable Fusion Rules
IEEE Transactions on Pattern Analysis and Machine Intelligence
Learning to match ontologies on the Semantic Web
The VLDB Journal — The International Journal on Very Large Data Bases
To buy or not to buy: mining airfare data to minimize ticket purchase price
Proceedings of the ninth ACM SIGKDD international conference on Knowledge discovery and data mining
In search of the Horowitz factor
AI Magazine
Comparing Bayes model averaging and stacking when model approximation error cannot be ignored
The Journal of Machine Learning Research
Local Averaging of Ensembles of LVQ-Based Nearest Neighbor Classifiers
Applied Intelligence
Ensemble modelling or selecting the best model: Many could be better than one
Artificial Intelligence for Engineering Design, Analysis and Manufacturing
Model selection for medical diagnosis decision support systems
Decision Support Systems
Introduction to the Special Issue on Meta-Learning
Machine Learning
On Data and Algorithms: Understanding Inductive Performance
Machine Learning
Improving accuracy in word class tagging through the combination of machine learning systems
Computational Linguistics
The Knowledge Engineering Review
Minds and Machines
Improving data driven wordclass tagging by system combination
COLING '98 Proceedings of the 17th international conference on Computational linguistics - Volume 1
Machine Learning
Minority report in fraud detection: classification of skewed data
ACM SIGKDD Explorations Newsletter - Special issue on learning from imbalanced datasets
Clustering classifiers for knowledge discovery from physically distributed databases
Data & Knowledge Engineering
Data-intensive analytics for predictive modeling
IBM Journal of Research and Development
ICML '04 Proceedings of the twenty-first international conference on Machine learning
Ensemble selection from libraries of models
ICML '04 Proceedings of the twenty-first international conference on Machine learning
Multiagent Collaborative Learning for Distributed Business Systems
AAMAS '04 Proceedings of the Third International Joint Conference on Autonomous Agents and Multiagent Systems - Volume 3
A Multiagent Approach for Logistics Performance Prediction Using Historical and Context Information
AAMAS '04 Proceedings of the Third International Joint Conference on Autonomous Agents and Multiagent Systems - Volume 3
Adequacy of training data for evolutionary mining of trading rules
Decision Support Systems - Special issue: Data mining for financial decision making
Goal-oriented methods and meta methods for document classification and their parameter tuning
Proceedings of the thirteenth ACM international conference on Information and knowledge management
The Combination of Text Classifiers Using Reliability Indicators
Information Retrieval
Optimal Control of Fed-Batch Processes Based on Multiple Neural Networks
Applied Intelligence
Not so naive Bayes: aggregating one-dependence estimators
Machine Learning
The Effect of Correlation on the Accuracy of Meta-Learning Approach
ICALT '05 Proceedings of the Fifth IEEE International Conference on Advanced Learning Technologies
Mining relational databases with multi-view learning
MRDM '05 Proceedings of the 4th international workshop on Multi-relational mining
Sharing Classifiers among Ensembles from Related Problem Domains
ICDM '05 Proceedings of the Fifth IEEE International Conference on Data Mining
ICDM '05 Proceedings of the Fifth IEEE International Conference on Data Mining
Combining outputs of multiple Japanese named entity chunkers by stacking
EMNLP '02 Proceedings of the ACL-02 conference on Empirical methods in natural language processing - Volume 10
Learning with multiple stacking for named entity recognition
COLING-02 proceedings of the 6th conference on Natural language learning - Volume 20
Meta-learning orthographic and contextual models for language independent named entity recognition
CONLL '03 Proceedings of the seventh conference on Natural language learning at HLT-NAACL 2003 - Volume 4
Exploiting structural information for semi-structured document categorization
Information Processing and Management: an International Journal
Machine Learning
Learning rich semantics from news video archives by style analysis
ACM Transactions on Multimedia Computing, Communications, and Applications (TOMCCAP)
Cost-conscious classifier ensembles
Pattern Recognition Letters
Categorization in multiple category systems
ICML '06 Proceedings of the 23rd international conference on Machine learning
SIGIR '06 Proceedings of the 29th annual international ACM SIGIR conference on Research and development in information retrieval
Proceedings of the 12th ACM SIGKDD international conference on Knowledge discovery and data mining
Proceedings of the 12th ACM SIGKDD international conference on Knowledge discovery and data mining
Demonstrating the stability of support vector machines for classification
Signal Processing - Signal processing in UWB communications
Combining forecasts with blind signal separation methods in electric load prediction framework
AIA'06 Proceedings of the 24th IASTED international conference on Artificial intelligence and applications
Combining Neural Network Models for Automated Diagnostic Systems
Journal of Medical Systems
Infrastructural Issues for Agent-Based Distributed Learning
WI-IATW '06 Proceedings of the 2006 IEEE/WIC/ACM international conference on Web Intelligence and Intelligent Agent Technology
Combining Information Extraction Systems Using Voting and Stacked Generalization
The Journal of Machine Learning Research
Extracting symbolic rules from trained neural network ensembles
AI Communications - Artificial Intelligence Advances in China
Soil texture classification with artificial neural networks operating on remote sensing data
Computers and Electronics in Agriculture
Local Feature Selection with Dynamic Integration of Classifiers
Fundamenta Informaticae - Intelligent Systems
Linear-time dependency analysis for Japanese
COLING '04 Proceedings of the 20th international conference on Computational Linguistics
NeurAlign: combining word alignments using neural networks
HLT '05 Proceedings of the conference on Human Language Technology and Empirical Methods in Natural Language Processing
A fast kernel-based nonlinear discriminant analysis for multi-class problems
Pattern Recognition
Classifier hierarchy learning by means of genetic algorithms
Pattern Recognition Letters
Adaptive fusion and co-operative training for classifier ensembles
Pattern Recognition
On solving the face recognition problem with one training sample per subject
Pattern Recognition
Expert systems for time-varying biomedical signals using eigenvector methods
Expert Systems with Applications: An International Journal
Trainable fusion rules. II. Small sample-size effects
Neural Networks
Cancer gene search with data-mining and genetic algorithms
Computers in Biology and Medicine
Ensemble methods for spoken emotion recognition in call-centres
Speech Communication
Classifier hierarchy learning by means of genetic algorithms
Pattern Recognition Letters
An interoperable and scalable Web-based system for classifier sharing and fusion
Expert Systems with Applications: An International Journal
A Rough Set Approach to Multiple Classifier Systems
Fundamenta Informaticae - SPECIAL ISSUE ON CONCURRENCY SPECIFICATION AND PROGRAMMING (CS&P 2005) Ruciane-Nide, Poland, 28-30 September 2005
Local voting of weak classifiers
International Journal of Knowledge-based and Intelligent Engineering Systems
On-line update of situation assessment: A generic approach
International Journal of Knowledge-based and Intelligent Engineering Systems - Selected papers from the KES2004 conference
Implementing automated diagnostic systems for breast cancer detection
Expert Systems with Applications: An International Journal
Non-strict heterogeneous Stacking
Pattern Recognition Letters
Weather analysis using ensemble of connectionist learning paradigms
Applied Soft Computing
Pruning extensions to stacking
Intelligent Data Analysis
Selective fusion of heterogeneous classifiers
Intelligent Data Analysis
A hybrid classification method using error pattern modeling
Expert Systems with Applications: An International Journal
Ensemble Pruning Via Semi-definite Programming
The Journal of Machine Learning Research
The Journal of Machine Learning Research
Decision-tree instance-space decomposition with grouped gain-ratio
Information Sciences: an International Journal
Portfolio allocation using XCS experts in technical analysis, market conditions and options market
Proceedings of the 9th annual conference companion on Genetic and evolutionary computation
Fusion of neural networks with fuzzy logic and genetic algorithm
Integrated Computer-Aided Engineering
Prediction of MHC II-binding peptides using rough set-based rule sets ensemble
Applied Intelligence
Tagging over time: real-world image annotation by lightweight meta-learning
Proceedings of the 15th international conference on Multimedia
Intelligent Data Analysis
Classifier ensembles: Select real-world applications
Information Fusion
Optimizing weights in combining classifiers in natural language learning
ACST'07 Proceedings of the third conference on IASTED International Conference: Advances in Computer Science and Technology
Credit risk assessment with a multistage neural network ensemble learning approach
Expert Systems with Applications: An International Journal
Usage of eigenvector methods in implementation of automated diagnostic systems for ECG beats
Digital Signal Processing
Regression via Classification applied on software defect estimation
Expert Systems with Applications: An International Journal
A knowledge-based artificial neural network classifier for pulmonary embolism diagnosis
Computers in Biology and Medicine
Comparing Combination Rules of Pairwise Neural Networks Classifiers
Neural Processing Letters
Image and video indexing using networks of operators
Journal on Image and Video Processing
Credit risk analysis using a hybrid data mining model
International Journal of Intelligent Systems Technologies and Applications
Image and video indexing using networks of operators
Journal on Image and Video Processing
Grasp recognition for uncalibrated data gloves: A machine learning approach
Presence: Teleoperators and Virtual Environments
Boosting recombined weak classifiers
Pattern Recognition Letters
On diversity and accuracy of homogeneous and heterogeneous ensembles
International Journal of Hybrid Intelligent Systems
iBoost: Boosting using an instance-based exponential weighting scheme
International Journal of Hybrid Intelligent Systems
Principled reasoning and practical applications of alert fusion in intrusion detection systems
Proceedings of the 2008 ACM symposium on Information, computer and communications security
An experimental comparative study of web mining methods for recommender systems
DIWED'06 Proceedings of the 6th WSEAS International Conference on Distance Learning and Web Engineering
Heterogeneous stacking for classification-driven watershed segmentation
EURASIP Journal on Advances in Signal Processing
Dynamic Weighted Majority: An Ensemble Method for Drifting Concepts
The Journal of Machine Learning Research
Data & Knowledge Engineering
Class-switching neural network ensembles
Neurocomputing
Estimation and decision fusion: A survey
Neurocomputing
Meta methods for model sharing in personal information systems
ACM Transactions on Information Systems (TOIS)
The combination of multiple classifiers using an evidential reasoning approach
Artificial Intelligence
Investigating methods for improving bagged k-NN classifiers
AIKED'08 Proceedings of the 7th WSEAS International Conference on Artificial intelligence, knowledge engineering and data bases
Neighborhood-Based Local Sensitivity
ECML '07 Proceedings of the 18th European conference on Machine Learning
Stacking Dynamic Time Warping for the Diagnosis of Dynamic Systems
Current Topics in Artificial Intelligence
GEP-Induced Expression Trees as Weak Classifiers
ICDM '08 Proceedings of the 8th industrial conference on Advances in Data Mining: Medical Applications, E-Commerce, Marketing, and Theoretical Aspects
On the Performance of Stacked Generalization Classifiers
ICIAR '08 Proceedings of the 5th international conference on Image Analysis and Recognition
How an Ensemble Method Can Compute a Comprehensible Model
DaWaK '08 Proceedings of the 10th international conference on Data Warehousing and Knowledge Discovery
Analyzing Classifier Hierarchy Multiclassifier Learning
CIARP '08 Proceedings of the 13th Iberoamerican congress on Pattern Recognition: Progress in Pattern Recognition, Image Analysis and Applications
k-NN Aggregation with a Stacked Email Representation
ECCBR '08 Proceedings of the 9th European conference on Advances in Case-Based Reasoning
Multi-value Classification of Very Short Texts
KI '08 Proceedings of the 31st annual German conference on Advances in Artificial Intelligence
A Boost Voting Strategy for Knowledge Integration and Decision Making
ISNN '08 Proceedings of the 5th international symposium on Neural Networks: Advances in Neural Networks
Information-Theoretic Measures for Meta-learning
HAIS '08 Proceedings of the 3rd international workshop on Hybrid Artificial Intelligence Systems
Comparison of approaches for estimating reliability of individual regression predictions
Data & Knowledge Engineering
Cross-disciplinary perspectives on meta-learning for algorithm selection
ACM Computing Surveys (CSUR)
Error-driven generalist+experts (edge): a multi-stage ensemble framework for text categorization
Proceedings of the 17th ACM conference on Information and knowledge management
Pattern recognition with a Bayesian kernel combination machine
Pattern Recognition Letters
Web page classification: Features and algorithms
ACM Computing Surveys (CSUR)
Boosting and measuring the performance of ensembles for a successful database marketing
Expert Systems with Applications: An International Journal
Methods and algorithms of collective recognition
Automation and Remote Control
Multirelational classification: a multiple view approach
Knowledge and Information Systems
KES '07 Knowledge-Based Intelligent Information and Engineering Systems and the XVII Italian Workshop on Neural Networks on Proceedings of the 11th International Conference
Improving malware detection by applying multi-inducer ensemble
Computational Statistics & Data Analysis
Combined neural networks for diagnosis of erythemato-squamous diseases
Expert Systems with Applications: An International Journal
Software quality analysis by combining multiple projects and learners
Software Quality Control
Combined neural network model employing wavelet coefficients for EEG signals classification
Digital Signal Processing
Evolving an Ensemble of Neural Networks Using Artificial Immune Systems
SEAL '08 Proceedings of the 7th International Conference on Simulated Evolution and Learning
Exact bootstrap k-nearest neighbor learners
Machine Learning
Classification models for the prediction of clinicians' information needs
Journal of Biomedical Informatics
Incremental construction of classifier and discriminant ensembles
Information Sciences: an International Journal
Locally application of cascade generalization for classification problems
Intelligent Decision Technologies
Feature Selection Algorithm for Multiple Classifier Systems: A Hybrid Approach
Fundamenta Informaticae - Concurrency Specification and Programming (CS&P)
Bagging for Gaussian process regression
Neurocomputing
Data dependency in multiple classifier systems
Pattern Recognition
Information Security Tech. Report
An overview of advances in reliability estimation of individual predictions in machine learning
Intelligent Data Analysis
Intelligent file scoring system for malware detection from the gray list
Proceedings of the 15th ACM SIGKDD international conference on Knowledge discovery and data mining
An adaptive multi-strategy approach for semantic mapping
C3S2E '09 Proceedings of the 2nd Canadian Conference on Computer Science and Software Engineering
Exploiting context analysis for combining multiple entity resolution systems
Proceedings of the 2009 ACM SIGMOD International Conference on Management of data
Component-based discriminative classification for hidden Markov models
Pattern Recognition
Combining feature spaces for classification
Pattern Recognition
EMO shines a light on the holes of complexity space
Proceedings of the 11th Annual conference on Genetic and evolutionary computation
An evolutionary approach to constructive induction for link discovery
Proceedings of the 11th Annual Conference Companion on Genetic and Evolutionary Computation Conference: Late Breaking Papers
Rough Ensemble Classifier: A Comparative Study
WILF '09 Proceedings of the 8th International Workshop on Fuzzy Logic and Applications
Face-to-Face Social Activity Detection Using Data Collected with a Wearable Device
IbPRIA '09 Proceedings of the 4th Iberian Conference on Pattern Recognition and Image Analysis
MLP, Gaussian Processes and Negative Correlation Learning for Time Series Prediction
MCS '09 Proceedings of the 8th International Workshop on Multiple Classifier Systems
Ensemble Strategies for Classifying Hyperspectral Remote Sensing Data
MCS '09 Proceedings of the 8th International Workshop on Multiple Classifier Systems
Unsupervised Hierarchical Weighted Multi-segmenter
MCS '09 Proceedings of the 8th International Workshop on Multiple Classifier Systems
Selective Ensemble under Regularization Framework
MCS '09 Proceedings of the 8th International Workshop on Multiple Classifier Systems
An Evolutionary Ensemble-Based Method for Rule Extraction with Distributed Data
HAIS '09 Proceedings of the 4th International Conference on Hybrid Artificial Intelligence Systems
Quantifying the impact of learning algorithm parameter tuning
AAAI'06 Proceedings of the 21st national conference on Artificial intelligence - Volume 1
Computational Statistics & Data Analysis
A fast ensemble pruning algorithm based on pattern mining process
Data Mining and Knowledge Discovery
EMNLP '08 Proceedings of the Conference on Empirical Methods in Natural Language Processing
Part-of-speech tagging for English-Spanish code-switched text
EMNLP '08 Proceedings of the Conference on Empirical Methods in Natural Language Processing
Activity recognition from accelerometer data
IAAI'05 Proceedings of the 17th conference on Innovative applications of artificial intelligence - Volume 3
IJCAI'97 Proceedings of the Fifteenth international joint conference on Artifical intelligence - Volume 2
Ensembles as a sequence of classifiers
IJCAI'97 Proceedings of the Fifteenth international joint conference on Artifical intelligence - Volume 2
Stacked generalization: when does it work?
IJCAI'97 Proceedings of the Fifteenth international joint conference on Artifical intelligence - Volume 2
Learning sentence-internal temporal relations
Journal of Artificial Intelligence Research
Rule-based machine learning methods for functional prediction
Journal of Artificial Intelligence Research
Issues in stacked generalization
Journal of Artificial Intelligence Research
A fusion of stacking with dynamic integration
IJCAI'07 Proceedings of the 20th international joint conference on Artifical intelligence
IJCAI'95 Proceedings of the 14th international joint conference on Artificial intelligence - Volume 1
Specializing for predicting obesity and its co-morbidities
Journal of Biomedical Informatics
Monte Carlo theory as an explanation of bagging and boosting
IJCAI'03 Proceedings of the 18th international joint conference on Artificial intelligence
Towards a theoretical framework for ensemble classification
IJCAI'03 Proceedings of the 18th international joint conference on Artificial intelligence
Improving automatic music tag annotation using stacked generalization of probabilistic SVM outputs
MM '09 Proceedings of the 17th ACM international conference on Multimedia
Spatial and temporal pyramids for grammatical expression recognition of American sign language
Proceedings of the 11th international ACM SIGACCESS conference on Computers and accessibility
Stacking recommendation engines with additional meta-features
Proceedings of the third ACM conference on Recommender systems
Combining learning constraints and numerical regression
IJCAI'05 Proceedings of the 19th international joint conference on Artificial intelligence
IJCAI'05 Proceedings of the 19th international joint conference on Artificial intelligence
A novel approach to model generation for heterogeneous data classification
IJCAI'05 Proceedings of the 19th international joint conference on Artificial intelligence
Using neutral examples for learning polarity
IJCAI'05 Proceedings of the 19th international joint conference on Artificial intelligence
A study of cross-validation and bootstrap for accuracy estimation and model selection
IJCAI'95 Proceedings of the 14th international joint conference on Artificial intelligence - Volume 2
Improving multilabel analysis of music titles: a large-scale validation of the correction approach
IEEE Transactions on Audio, Speech, and Language Processing
IEEE Transactions on Information Technology in Biomedicine - Special section on biomedical informatics
Exploratory undersampling for class-imbalance learning
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
IEEE Transactions on Neural Networks
Learning Deep Architectures for AI
Foundations and Trends® in Machine Learning
Multi-Scale Multi-Resolution Stacked Sequential Learning
Proceedings of the 2009 conference on Artificial Intelligence Research and Development: Proceedings of the 12th International Conference of the Catalan Association for Artificial Intelligence
Credit rating by hybrid machine learning techniques
Applied Soft Computing
Classifier subset selection for biomedical named entity recognition
Applied Intelligence
Boosting Classifiers Built from Different Subsets of Features
Fundamenta Informaticae
Improving a rule evaluation support method based on objective indices
International Journal of Advanced Intelligence Paradigms
Multi-Scale Multi-Resolution Stacked Sequential Learning
Proceedings of the 2009 conference on Artificial Intelligence Research and Development: Proceedings of the 12th International Conference of the Catalan Association for Artificial Intelligence
A hybrid approach for efficient ensembles
Decision Support Systems
IRI'09 Proceedings of the 10th IEEE international conference on Information Reuse & Integration
Adaptive Anomaly Detection via Self-calibration and Dynamic Updating
RAID '09 Proceedings of the 12th International Symposium on Recent Advances in Intrusion Detection
ICANN '09 Proceedings of the 19th International Conference on Artificial Neural Networks: Part II
MICCLLR: Multiple-Instance Learning Using Class Conditional Log Likelihood Ratio
DS '09 Proceedings of the 12th International Conference on Discovery Science
Computing a Comprehensible Model for Spam Filtering
DS '09 Proceedings of the 12th International Conference on Discovery Science
A Hierarchical Face Recognition Algorithm
ACML '09 Proceedings of the 1st Asian Conference on Machine Learning: Advances in Machine Learning
A Multi-view Approach for Relation Extraction
WISM '09 Proceedings of the International Conference on Web Information Systems and Mining
A new supervised local modelling classifier based on information theory
IJCNN'09 Proceedings of the 2009 international joint conference on Neural Networks
IJCNN'09 Proceedings of the 2009 international joint conference on Neural Networks
Improving sequence segmentation learning by predicting trigrams
CONLL '05 Proceedings of the Ninth Conference on Computational Natural Language Learning
Failure prediction with self organizing maps
Expert Systems with Applications: An International Journal
An Information Theory framework for two-stage binary image operator design
Pattern Recognition Letters
Exploiting structural information for semi-structured document categorization
Information Processing and Management: an International Journal
Artificial Intelligence Review
A hybrid modeling using clustering algorithm for textile slashing process
CCDC'09 Proceedings of the 21st annual international conference on Chinese control and decision conference
Bernoulli's principle of insufficient reason and conservation of information in computer search
SMC'09 Proceedings of the 2009 IEEE international conference on Systems, Man and Cybernetics
Evolutionary synthesis of nand logic: dissecting a digital organism
SMC'09 Proceedings of the 2009 IEEE international conference on Systems, Man and Cybernetics
GA-stacking: Evolutionary stacked generalization
Intelligent Data Analysis
Prototype selection algorithms for distributed learning
Pattern Recognition
MLDM'03 Proceedings of the 3rd international conference on Machine learning and data mining in pattern recognition
MCS'07 Proceedings of the 7th international conference on Multiple classifier systems
Data dependence in combining classifiers
MCS'03 Proceedings of the 4th international conference on Multiple classifier systems
Reducing the overconfidence of base classifiers when combining their decisions
MCS'03 Proceedings of the 4th international conference on Multiple classifier systems
An ensemble approach for data fusion with learn++
MCS'03 Proceedings of the 4th international conference on Multiple classifier systems
An assistant tool for concealing personal information in text
Proceedings of the 2007 conference on Human interface: Part II
Medical data mining: insights from winning two competitions
Data Mining and Knowledge Discovery
Recovering uncertain mappings through structural validation and aggregation with the MoTo system
Proceedings of the 2010 ACM Symposium on Applied Computing
ICIC'07 Proceedings of the intelligent computing 3rd international conference on Advanced intelligent computing theories and applications
PCM'07 Proceedings of the multimedia 8th Pacific Rim conference on Advances in multimedia information processing
Efficient multi-method rule learning for pattern classification machine learning and data mining
PReMI'07 Proceedings of the 2nd international conference on Pattern recognition and machine intelligence
Selective ensemble of decision trees
RSFDGrC'03 Proceedings of the 9th international conference on Rough sets, fuzzy sets, data mining, and granular computing
IDEAL'09 Proceedings of the 10th international conference on Intelligent data engineering and automated learning
Association rule mining: models and algorithms
Association rule mining: models and algorithms
Multi-strategy ontology mapping based on stacking method
FSKD'09 Proceedings of the 6th international conference on Fuzzy systems and knowledge discovery - Volume 2
Creating diverse nearest-neighbour ensembles using simultaneous metaheuristic feature selection
Pattern Recognition Letters
A new decision fusion technique for image classification
ICIP'09 Proceedings of the 16th IEEE international conference on Image processing
Machine learning of clinical performance in a pancreatic cancer database
Artificial Intelligence in Medicine
Ensemble pruning via individual contribution ordering
Proceedings of the 16th ACM SIGKDD international conference on Knowledge discovery and data mining
CAFE: Collaboration Aimed at Finding Experts
International Journal of Knowledge and Web Intelligence
Learn++.MF: A random subspace approach for the missing feature problem
Pattern Recognition
Neuro-fuzzy-combiner: an effective multiple classifier system
International Journal of Knowledge Engineering and Soft Data Paradigms
The Knowledge Engineering Review
Using GMDH-based networks for improved spam detection and email feature analysis
Applied Soft Computing
Enhancing the classification accuracy by scatter-search-based ensemble approach
Applied Soft Computing
Simple semi-supervised training of part-of-speech taggers
ACLShort '10 Proceedings of the ACL 2010 Conference Short Papers
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AAAI'97/IAAI'97 Proceedings of the fourteenth national conference on artificial intelligence and ninth conference on Innovative applications of artificial intelligence
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IDEAL'10 Proceedings of the 11th international conference on Intelligent data engineering and automated learning
Using machine learning to prescribe warfarin
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Single-stacking conformity approach to reliable classification
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On feature combination for music classification
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Learning with ensembles of randomized trees: new insights
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Gaze quality assisted automatic recognition of social contexts in collaborative Tetris
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AAAI'96 Proceedings of the thirteenth national conference on Artificial intelligence - Volume 1
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Analysis of bagging ensembles of fuzzy models for premises valuation
ACIIDS'10 Proceedings of the Second international conference on Intelligent information and database systems: Part II
Comparison of bagging, boosting and stacking ensembles applied to real estate appraisal
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The construction of an individual credit risk assessment method: based on the combination algorithms
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Fast meta-models for local fusion of multiple predictive models
Applied Soft Computing
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ICONIP'10 Proceedings of the 17th international conference on Neural information processing: theory and algorithms - Volume Part I
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International Journal of Approximate Reasoning
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Expert Systems with Applications: An International Journal
Ensemble methods and model based diagnosis using possible conflicts and system decomposition
IEA/AIE'10 Proceedings of the 23rd international conference on Industrial engineering and other applications of applied intelligent systems - Volume Part II
Extended decision template presentation for combining classifiers
Expert Systems with Applications: An International Journal
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ACM SIGAPP Applied Computing Review
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CIMMACS'07 Proceedings of the 6th WSEAS international conference on Computational intelligence, man-machine systems and cybernetics
Architecting dependable systems with proactive fault management
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International Journal of Computer Vision
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HLT '11 Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies - Volume 1
Meta-learning based optimization of metabolic pathway data-mining inference system
IEA/AIE'11 Proceedings of the 24th international conference on Industrial engineering and other applications of applied intelligent systems conference on Modern approaches in applied intelligence - Volume Part II
Ensemble of classifiers based on hard instances
MCPR'11 Proceedings of the Third Mexican conference on Pattern recognition
Adaptive ROC-based ensembles of HMMs applied to anomaly detection
Pattern Recognition
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ECML PKDD'11 Proceedings of the 2011 European conference on Machine learning and knowledge discovery in databases - Volume Part I
Aggregating independent and dependent models to learn multi-label classifiers
ECML PKDD'11 Proceedings of the 2011 European conference on Machine learning and knowledge discovery in databases - Volume Part II
ShareBoost: boosting for multi-view learning with performance guarantees
ECML PKDD'11 Proceedings of the 2011 European conference on Machine learning and knowledge discovery in databases - Volume Part II
Enhanced Topic-based Vector Space Model for semantics-aware spam filtering
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
Multi-class multi-scale stacked sequential learning
MCS'11 Proceedings of the 10th international conference on Multiple classifier systems
A case study of stacked multi-view learning in dementia research
AIME'11 Proceedings of the 13th conference on Artificial intelligence in medicine
ICHIT'11 Proceedings of the 5th international conference on Convergence and hybrid information technology
Patch reprojections for Non-Local methods
Signal Processing
Rule stacking: an approach for compressing an ensemble of rule sets into a single classifier
DS'11 Proceedings of the 14th international conference on Discovery science
Designing an ensemble classifier over subspace classifiers using iterative convergence routine
Proceedings of the 20th ACM international conference on Information and knowledge management
Ensembles of Restricted Hoeffding Trees
ACM Transactions on Intelligent Systems and Technology (TIST)
Symmetries from uniform space covering in stochastic discrimination
SSPR'06/SPR'06 Proceedings of the 2006 joint IAPR international conference on Structural, Syntactic, and Statistical Pattern Recognition
Applying REC analysis to ensembles of sigma-point kalman filters
ICANN'06 Proceedings of the 16th international conference on Artificial Neural Networks - Volume Part II
Cascade evaluation of clustering algorithms
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Combining active learning and semi-supervised for improving learning performance
Proceedings of the 4th International Symposium on Applied Sciences in Biomedical and Communication Technologies
Constructive meta-level feature selection method based on method repositories
PAKDD'06 Proceedings of the 10th Pacific-Asia conference on Advances in Knowledge Discovery and Data Mining
Protein classification with multiple algorithms
PCI'05 Proceedings of the 10th Panhellenic conference on Advances in Informatics
HiPC'05 Proceedings of the 12th international conference on High Performance Computing
Fingerprint authentication based on matching scores with other data
ICB'06 Proceedings of the 2006 international conference on Advances in Biometrics
Agent based distributed data mining
PDCAT'04 Proceedings of the 5th international conference on Parallel and Distributed Computing: applications and Technologies
A novel multiple neural networks modeling method based on FCM
ISNN'06 Proceedings of the Third international conference on Advnaces in Neural Networks - Volume Part II
StackTIS: A stacked generalization approach for effective prediction of translation initiation sites
Computers in Biology and Medicine
Eigenclassifiers for combining correlated classifiers
Information Sciences: an International Journal
Comparing meta-learning algorithms
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On a unified framework for sampling with and without replacement in decision tree ensembles
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Building ensembles of neural networks with class-switching
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Sampling of virtual examples to improve classification accuracy for nominal attribute data
RSCTC'06 Proceedings of the 5th international conference on Rough Sets and Current Trends in Computing
ML-CIDIM: multiple layers of multiple classifier systems based on CIDIM
RSFDGrC'05 Proceedings of the 10th international conference on Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing - Volume Part II
Error-sensitive grading for model combination
ECML'05 Proceedings of the 16th European conference on Machine Learning
On deriving the second-stage training set for trainable combiners
MCS'05 Proceedings of the 6th international conference on Multiple Classifier Systems
LPD'04 Proceedings of the 2004 international conference on Local Pattern Detection
A comprehensible SOM-Based scoring system
MLDM'05 Proceedings of the 4th international conference on Machine Learning and Data Mining in Pattern Recognition
E-CIDIM: ensemble of CIDIM classifiers
ADMA'05 Proceedings of the First international conference on Advanced Data Mining and Applications
Automatic occupation coding with combination of machine learning and hand-crafted rules
PAKDD'05 Proceedings of the 9th Pacific-Asia conference on Advances in Knowledge Discovery and Data Mining
IDA'05 Proceedings of the 6th international conference on Advances in Intelligent Data Analysis
On hybrid classification using model assisted posterior estimates
Pattern Recognition
Cascading customized naïve bayes couple
AI'10 Proceedings of the 23rd Canadian conference on Advances in Artificial Intelligence
Performance evaluation of an agent based distributed data mining system
AI'05 Proceedings of the 18th Canadian Society conference on Advances in Artificial Intelligence
Multivariate discretization for associative classification in a sparse data application domain
HAIS'10 Proceedings of the 5th international conference on Hybrid Artificial Intelligence Systems - Volume Part I
Graph-Based model-selection framework for large ensembles
HAIS'10 Proceedings of the 5th international conference on Hybrid Artificial Intelligence Systems - Volume Part I
Application of mixture of experts to construct real estate appraisal models
HAIS'10 Proceedings of the 5th international conference on Hybrid Artificial Intelligence Systems - Volume Part I
Using restrictive classification and meta classification for junk elimination
ECIR'05 Proceedings of the 27th European conference on Advances in Information Retrieval Research
User preferences based software defect detection algorithms selection using MCDM
Information Sciences: an International Journal
Boosting-based ensemble learning with penalty profiles for automatic Thai unknown word recognition
Computers & Mathematics with Applications
Image analysis and automatic surface identification by a bi-level multi-classifier
BVAI'05 Proceedings of the First international conference on Brain, Vision, and Artificial Intelligence
Genetic Programming and Evolvable Machines
Symbiotic coevolutionary genetic programming: a benchmarking study under large attribute spaces
Genetic Programming and Evolvable Machines
Using topic concepts for semantic video shots classification
CIVR'06 Proceedings of the 5th international conference on Image and Video Retrieval
Training regression ensembles by sequential target correction and resampling
Information Sciences: an International Journal
Information Sciences: an International Journal
PKAW'06 Proceedings of the 9th Pacific Rim Knowledge Acquisition international conference on Advances in Knowledge Acquisition and Management
AI'06 Proceedings of the 19th Australian joint conference on Artificial Intelligence: advances in Artificial Intelligence
EuroGP'10 Proceedings of the 13th European conference on Genetic Programming
Automatic document organization in a p2p environment
ECIR'06 Proceedings of the 28th European conference on Advances in Information Retrieval
Improving bagging performance through multi-algorithm ensembles
PAKDD'11 Proceedings of the 15th international conference on New Frontiers in Applied Data Mining
Information integration over time in unreliable and uncertain environments
Proceedings of the 21st international conference on World Wide Web
Multi kernel learning with online-batch optimization
The Journal of Machine Learning Research
ML-Flex: a flexible toolbox for performing classification analyses in parallel
The Journal of Machine Learning Research
Exploiting Intrastructure Information for Secondary Structure Prediction with Multifaceted Pipelines
IEEE/ACM Transactions on Computational Biology and Bioinformatics (TCBB)
Output-associative RVM regression for dimensional and continuous emotion prediction
Image and Vision Computing
ADA'04 Proceedings of the 3rd international conference on Astronomical Data Analysis
Two New Prediction-Driven Approaches to Discrete Choice Prediction
ACM Transactions on Management Information Systems (TMIS)
Bayesian network multi-classifiers for protein secondary structure prediction
Artificial Intelligence in Medicine
ACIIDS'12 Proceedings of the 4th Asian conference on Intelligent Information and Database Systems - Volume Part I
Ensemble pruning using harmony search
HAIS'12 Proceedings of the 7th international conference on Hybrid Artificial Intelligent Systems - Volume Part II
WSABIE: scaling up to large vocabulary image annotation
IJCAI'11 Proceedings of the Twenty-Second international joint conference on Artificial Intelligence - Volume Volume Three
Expert Systems with Applications: An International Journal
Artificial Intelligence in Medicine
Model selection for a medical diagnostic decision support system: a breast cancer detection case
Artificial Intelligence in Medicine
Multimodal feature generation framework for semantic image classification
Proceedings of the 2nd ACM International Conference on Multimedia Retrieval
Save the best for last? The treatment of dominant predictors in financial forecasting
Expert Systems with Applications: An International Journal
Lazy meta-learning: creating customized model ensembles on demand
WCCI'12 Proceedings of the 2012 World Congress conference on Advances in Computational Intelligence
Protein-Protein interaction affinity prediction based on interface descriptors and machine learning
ICIC'12 Proceedings of the 8th international conference on Intelligent Computing Theories and Applications
Feature Selection Algorithm for Multiple Classifier Systems: A Hybrid Approach
Fundamenta Informaticae - Concurrency Specification and Programming (CS&P)
A Rough Set Approach to Multiple Classifier Systems
Fundamenta Informaticae - SPECIAL ISSUE ON CONCURRENCY SPECIFICATION AND PROGRAMMING (CS&P 2005) Ruciane-Nide, Poland, 28-30 September 2005
Combining heterogeneous classifiers for relational databases
Pattern Recognition
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Fundamenta Informaticae - Intelligent Systems
Ensemble approaches for regression: A survey
ACM Computing Surveys (CSUR)
A machine learning solution to assess privacy policy completeness: (short paper)
Proceedings of the 2012 ACM workshop on Privacy in the electronic society
Anomaly based intrusion detection using meta ensemble classifier
Proceedings of the Fifth International Conference on Security of Information and Networks
Integrating video and accelerometer signals for nocturnal epileptic seizure detection
Proceedings of the 14th ACM international conference on Multimodal interaction
ACL '12 Proceedings of the 50th Annual Meeting of the Association for Computational Linguistics: Long Papers - Volume 1
Grading the quality of medical evidence
BioNLP '12 Proceedings of the 2012 Workshop on Biomedical Natural Language Processing
Improving classification with class-independent quality measures: Q-stack in face verification
ICB'07 Proceedings of the 2007 international conference on Advances in Biometrics
Metaphor: a system for related search recommendations
Proceedings of the 21st ACM international conference on Information and knowledge management
Detection of CAN by ensemble classifiers based on ripple down rules
PKAW'12 Proceedings of the 12th Pacific Rim conference on Knowledge Management and Acquisition for Intelligent Systems
Minimal correlation classification
ECCV'12 Proceedings of the 12th European conference on Computer Vision - Volume Part VI
Co-inference for multi-modal scene analysis
ECCV'12 Proceedings of the 12th European conference on Computer Vision - Volume Part VI
On multiview-based meta-learning for automatic quality assessment of wiki articles
TPDL'12 Proceedings of the Second international conference on Theory and Practice of Digital Libraries
An attempt to employ genetic fuzzy systems to predict from a data stream of premises transactions
SUM'12 Proceedings of the 6th international conference on Scalable Uncertainty Management
X-Class: Associative Classification of XML Documents by Structure
ACM Transactions on Information Systems (TOIS)
Error-correcting output codes based ensemble feature extraction
Pattern Recognition
A social approach for learning agents
Expert Systems with Applications: An International Journal
Linear classifier combination and selection using group sparse regularization and hinge loss
Pattern Recognition Letters
Exploiting unlabeled data to enhance ensemble diversity
Data Mining and Knowledge Discovery
The use of artificial-intelligence-based ensembles for intrusion detection: a review
Applied Computational Intelligence and Soft Computing
Bagging and Boosting statistical machine translation systems
Artificial Intelligence
Bagging ensemble selection for regression
AI'12 Proceedings of the 25th Australasian joint conference on Advances in Artificial Intelligence
A multi-tier ensemble construction of classifiers for phishing email detection and filtering
CSS'12 Proceedings of the 4th international conference on Cyberspace Safety and Security
Ensemble learning for sentiment classification
CLSW'12 Proceedings of the 13th Chinese conference on Chinese Lexical Semantics
Pulmonary crackle detection using time-frequency and time-scale analysis
Digital Signal Processing
Ensembles of strong learners for multi-cue classification
Pattern Recognition Letters
Exploiting label dependencies for improved sample complexity
Machine Learning
A comparative study of classifier combination applied to NLP tasks
Information Fusion
Investigation of random subspace and random forest regression models using data with injected noise
KES'12 Proceedings of the 16th international conference on Knowledge Engineering, Machine Learning and Lattice Computing with Applications
Outlier ensembles: position paper
ACM SIGKDD Explorations Newsletter
A framework for merging and ranking of answers in DeepQA
IBM Journal of Research and Development
Towards a method for automatically evolving bayesian network classifiers
Proceedings of the 15th annual conference companion on Genetic and evolutionary computation
Stacked ensemble coupled with feature selection for biomedical entity extraction
Knowledge-Based Systems
Improving simulation speed and accuracy for many-core embedded platforms with ensemble models
Proceedings of the Conference on Design, Automation and Test in Europe
Increasing anomaly handling efficiency in large organizations using applied machine learning
Proceedings of the 2013 International Conference on Software Engineering
Combining one-class classifiers via meta learning
Proceedings of the 22nd ACM international conference on Conference on information & knowledge management
On the effect of calibration in classifier combination
Applied Intelligence
Engineering Applications of Artificial Intelligence
IWANN'13 Proceedings of the 12th international conference on Artificial Neural Networks: advances in computational intelligence - Volume Part I
AusDM '12 Proceedings of the Tenth Australasian Data Mining Conference - Volume 134
A survey of multiple classifier systems as hybrid systems
Information Fusion
Pairwise meta-rules for better meta-learning-based algorithm ranking
Machine Learning
Estimator selection and combination in scalar-on-function regression
Computational Statistics & Data Analysis
Dependent binary relevance models for multi-label classification
Pattern Recognition
Orange: data mining toolbox in python
The Journal of Machine Learning Research
Proceedings of the 23rd international conference on World wide web
Contrasting meta-learning and hyper-heuristic research: the role of evolutionary algorithms
Genetic Programming and Evolvable Machines
Machine Vision and Applications
Fast decorrelated neural network ensembles with random weights
Information Sciences: an International Journal
International Journal of Wireless and Mobile Computing
Automatic selection of classification learning algorithms for data mining practitioners
Intelligent Data Analysis
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This paper introduces stacked generalization, a scheme for minimizing the generalization error rate of one or more generalizers. Stacked generalization works by deducing the biases of the generalizer(s) with respect to a provided learning set. This deduction proceeds by generalizing in a second space whose inputs are (for example) the guesses of the original generalizers when taught with part of the learning set and trying to guess the rest of it, and whose output is (for example) the correct guess. When used with multiple generalizers, stacked generalization can be seen as a more sophisticated version of cross-validation, exploiting a strategy more sophisticated than cross-validation's crude winner-takes-all for combining the individual generalizers. When used with a single generalizer, stacked generalization is a scheme for estimating (and then correcting for) the error of a generalizer which has been trained on a particular learning set and then asked a particular question. After introducing stacked generalization and justifying its use, this paper presents two numerical experiments. The first demonstrates how stacked generalization improves upon a set of separate generalizers for the NETtalk task of translating text to phonemes. The second demonstrates how stacked generalization improves the performance of a single surface-fitter. With the other experimental evidence in the literature, the usual arguments supporting cross-validation, and the abstract justifications presented in this paper, the conclusion is that for almost any real-world generalization problem one should use some version of stacked generalization to minimize the generalization error rate. This paper ends by discussing some of the variations of stacked generalization, and how it touches on other fields like chaos theory.