Neural networks and the bias/variance dilemma
Neural Computation
Original Contribution: Stacked generalization
Neural Networks
Machine Learning
A decision-theoretic generalization of on-line learning and an application to boosting
Journal of Computer and System Sciences - Special issue: 26th annual ACM symposium on the theory of computing & STOC'94, May 23–25, 1994, and second annual Europe an conference on computational learning theory (EuroCOLT'95), March 13–15, 1995
On Bias, Variance, 0/1—Loss, and the Curse-of-Dimensionality
Data Mining and Knowledge Discovery
On Comparing Classifiers: Pitfalls toAvoid and a Recommended Approach
Data Mining and Knowledge Discovery
AAAI'96 Proceedings of the thirteenth national conference on Artificial intelligence - Volume 1
Dynamic Integration of Decision Committees
HiPC '00 Proceedings of the 7th International Conference on High Performance Computing
Bagging and Boosting with Dynamic Integration of Classifiers
PKDD '00 Proceedings of the 4th European Conference on Principles of Data Mining and Knowledge Discovery
The Need for Low Bias Algorithms in Classification Learning from Large Data Sets
PKDD '02 Proceedings of the 6th European Conference on Principles of Data Mining and Knowledge Discovery
Solving Regression Problems Using Competitive Ensemble Models
AI '02 Proceedings of the 15th Australian Joint Conference on Artificial Intelligence: Advances in Artificial Intelligence
Candidate Elimination Criteria for Lazy Bayesian Rules
AI '01 Proceedings of the 14th Australian Joint Conference on Artificial Intelligence: Advances in Artificial Intelligence
Wrapping Boosters against Noise
AI '01 Proceedings of the 14th Australian Joint Conference on Artificial Intelligence: Advances in Artificial Intelligence
Applying Boosting to Similarity Literals for Time Series Classification
MCS '00 Proceedings of the First International Workshop on Multiple Classifier Systems
Proportional k-Interval Discretization for Naive-Bayes Classifiers
EMCL '01 Proceedings of the 12th European Conference on Machine Learning
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
A Case Study of Applying Boosting Naive Bayes to Claim Fraud Diagnosis
IEEE Transactions on Knowledge and Data Engineering
Multistrategy Ensemble Learning: Reducing Error by Combining Ensemble Learning Techniques
IEEE Transactions on Knowledge and Data Engineering
Improving the predictive power of AdaBoost: a case study in classifying borrowers
IEA/AIE'2003 Proceedings of the 16th international conference on Developments in applied artificial intelligence
Improving Multiclass Pattern Recognition by the Combination of Two Strategies
IEEE Transactions on Pattern Analysis and Machine Intelligence
Machine Learning
Pruning in ordered bagging ensembles
ICML '06 Proceedings of the 23rd international conference on Machine learning
Efficient lazy elimination for averaged one-dependence estimators
ICML '06 Proceedings of the 23rd international conference on Machine learning
Rotation Forest: A New Classifier Ensemble Method
IEEE Transactions on Pattern Analysis and Machine Intelligence
Local Feature Selection with Dynamic Integration of Classifiers
Fundamenta Informaticae - Intelligent Systems
Classification by evolutionary ensembles
Pattern Recognition
Using boosting to prune bagging ensembles
Pattern Recognition Letters
Experimental study for the comparison of classifier combination methods
Pattern Recognition
A cooperative constructive method for neural networks for pattern recognition
Pattern Recognition
Parallelizing AdaBoost by weights dynamics
Computational Statistics & Data Analysis
Immune network based ensembles
Neurocomputing
Local voting of weak classifiers
International Journal of Knowledge-based and Intelligent Engineering Systems
Facing classification problems with Particle Swarm Optimization
Applied Soft Computing
Nonlinear Boosting Projections for Ensemble Construction
The Journal of Machine Learning Research
Classifier Ensembles with a Random Linear Oracle
IEEE Transactions on Knowledge and Data Engineering
Learning from bug-introducing changes to prevent fault prone code
Ninth international workshop on Principles of software evolution: in conjunction with the 6th ESEC/FSE joint meeting
IEEE Transactions on Knowledge and Data Engineering
Ensemble methods for classification of patients for personalized medicine with high-dimensional data
Artificial Intelligence in Medicine
Machine learning: a review of classification and combining techniques
Artificial Intelligence Review
Improving multiclass pattern recognition with a co-evolutionary RBFNN
Pattern Recognition Letters
An efficient modified boosting method for solving classification problems
Journal of Computational and Applied Mathematics
Web process and workflow path mining using the Multimethod approach
International Journal of Business Intelligence and Data Mining
Feature Extraction for Dynamic Integration of Classifiers
Fundamenta Informaticae
RotBoost: A technique for combining Rotation Forest and AdaBoost
Pattern Recognition Letters
The combination of multiple classifiers using an evidential reasoning approach
Artificial Intelligence
An Evolutionary RBFNN Learning Algorithm for Complex Classzification Problems
ISNN '07 Proceedings of the 4th international symposium on Neural Networks: Part II--Advances in Neural Networks
Finding the Right Family: Parent and Child Selection for Averaged One-Dependence Estimators
ECML '07 Proceedings of the 18th European conference on Machine Learning
Boosting Threshold Classifiers for High--- Dimensional Data in Functional Genomics
ANNPR '08 Proceedings of the 3rd IAPR workshop on Artificial Neural Networks in Pattern Recognition
Neural Network Ensembles for Classification Problems Using Multiobjective Genetic Algorithms
ICANN '08 Proceedings of the 18th international conference on Artificial Neural Networks, Part I
CONSENSUS-BASED ENSEMBLES OF SOFT CLUSTERINGS
Applied Artificial Intelligence
Boosting random subspace method
Neural Networks
Multirelational classification: a multiple view approach
Knowledge and Information Systems
Practical Bias Variance Decomposition
AI '08 Proceedings of the 21st Australasian Joint Conference on Artificial Intelligence: Advances in Artificial Intelligence
Combining Bagging, Boosting and Dagging for Classification Problems
KES '07 Knowledge-Based Intelligent Information and Engineering Systems and the XVII Italian Workshop on Neural Networks on Proceedings of the 11th International Conference
Using Boosting to prune Double-Bagging ensembles
Computational Statistics & Data Analysis
Empirical analysis of support vector machine ensemble classifiers
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
Classification models for the prediction of clinicians' information needs
Journal of Biomedical Informatics
Proximity-based authentication of mobile devices
International Journal of Security and Networks
Locally application of cascade generalization for classification problems
Intelligent Decision Technologies
Correlation-based content adaptation for mobile web browsing
Proceedings of the ACM/IFIP/USENIX 2007 International Conference on Middleware
Ensemble of classifiers for detecting network intrusion
Proceedings of the International Conference on Advances in Computing, Communication and Control
PAKDD '09 Proceedings of the 13th Pacific-Asia Conference on Advances in Knowledge Discovery and Data Mining
Boosting k-nearest neighbor classifier by means of input space projection
Expert Systems with Applications: An International Journal
Supervised projection approach for boosting classifiers
Pattern Recognition
A New Data-Mining Based Approach for Network Intrusion Detection
CNSR '09 Proceedings of the 2009 Seventh Annual Communication Networks and Services Research Conference
A penalized likelihood based pattern classification algorithm
Pattern Recognition
Supervised Machine Learning: A Review of Classification Techniques
Proceedings of the 2007 conference on Emerging Artificial Intelligence Applications in Computer Engineering: Real Word AI Systems with Applications in eHealth, HCI, Information Retrieval and Pervasive Technologies
Boosting Support Vector Machines Successfully
MCS '09 Proceedings of the 8th International Workshop on Multiple Classifier Systems
Out-of-bag estimation of the optimal sample size in bagging
Pattern Recognition
An intrinsic stopping criterion for committee-based active learning
CoNLL '09 Proceedings of the Thirteenth Conference on Computational Natural Language Learning
AAAI'04 Proceedings of the 19th national conference on Artifical intelligence
Computational Statistics & Data Analysis
CIXL2: a crossover operator for evolutionary algorithms based on population features
Journal of Artificial Intelligence Research
Spectrum of variable-random trees
Journal of Artificial Intelligence Research
Constructing diverse classifier ensembles using artificial training examples
IJCAI'03 Proceedings of the 18th international joint conference on Artificial intelligence
Comparison of similarity models for the relation discovery task
LD '06 Proceedings of the Workshop on Linguistic Distances
Classification of oncologic data with genetic programming
Journal of Artificial Evolution and Applications - Special issue on artificial evolution methods in the biological and biomedical sciences
Unique classifier selection approach for bagging algorithm
ISC '07 Proceedings of the 10th IASTED International Conference on Intelligent Systems and Control
On privacy preservation in text and document-based active learning for named entity recognition
Proceedings of the ACM first international workshop on Privacy and anonymity for very large databases
Exploratory undersampling for class-imbalance learning
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Constructing ensembles of classifiers by means of weighted instance selection
IEEE Transactions on Neural Networks
Pattern Recognition Letters
Rotation-based model trees for classification
International Journal of Data Analysis Techniques and Strategies
Zone analysis: a visualization framework for classification problems
Artificial Intelligence Review
Bagging different instead of similar models for regression and classification problems
International Journal of Computer Applications in Technology
Switching class labels to generate classification ensembles
Pattern Recognition
Weighted proportional k-interval discretization for naive-Bayes classifiers
PAKDD'03 Proceedings of the 7th Pacific-Asia conference on Advances in knowledge discovery and data mining
Naïve Bayes ensembles with a random oracle
MCS'07 Proceedings of the 7th international conference on Multiple classifier systems
Cooperative coevolutionary ensemble learning
MCS'07 Proceedings of the 7th international conference on Multiple classifier systems
A cooperative coevolution algorithm of RBFNN for classification
PAKDD'07 Proceedings of the 11th Pacific-Asia conference on Advances in knowledge discovery and data mining
Amigo: proximity-based authentication of mobile devices
UbiComp '07 Proceedings of the 9th international conference on Ubiquitous computing
Creating ensembles of classifiers via fuzzy clustering and deflection
Fuzzy Sets and Systems
Meta learning intrusion detection in real time network
ICANN'07 Proceedings of the 17th international conference on Artificial neural networks
Stop wasting time: on predicting the success or failure of learning for industrial applications
IDEAL'07 Proceedings of the 8th international conference on Intelligent data engineering and automated learning
Selective ensemble of decision trees
RSFDGrC'03 Proceedings of the 9th international conference on Rough sets, fuzzy sets, data mining, and granular computing
Correlation-based content adaptation for mobile web browsing
MIDDLEWARE2007 Proceedings of the 8th ACM/IFIP/USENIX international conference on Middleware
Dual-population based coevolutionary algorithm for designing RBFNN with feature selection
Expert Systems with Applications: An International Journal
International Journal of Knowledge Engineering and Data Mining
A novel clustering approach: Artificial Bee Colony (ABC) algorithm
Applied Soft Computing
A low variance error boosting algorithm
Applied Intelligence
Analyzing the impact of the discretization method when comparing Bayesian classifiers
IEA/AIE'10 Proceedings of the 23rd international conference on Industrial engineering and other applications of applied intelligent systems - Volume Part I
Random projections for SVM ensembles
IEA/AIE'10 Proceedings of the 23rd international conference on Industrial engineering and other applications of applied intelligent systems - Volume Part II
Parallel boosted regression trees for web search ranking
Proceedings of the 20th international conference on World wide web
Combining bagging, boosting, rotation forest and random subspace methods
Artificial Intelligence Review
Estimation of optimal sample size of decision forest with SVM using embedded cross-validation method
ACIIDS'11 Proceedings of the Third international conference on Intelligent information and database systems - Volume Part II
Random projections for linear SVM ensembles
Applied Intelligence
Bagging gradient-boosted trees for high precision, low variance ranking models
Proceedings of the 34th international ACM SIGIR conference on Research and development in Information Retrieval
Multi-agent based classification using argumentation from experience
PAKDD'11 Proceedings of the 15th Pacific-Asia conference on Advances in knowledge discovery and data mining - Volume Part II
GRASP forest: a new ensemble method for trees
MCS'11 Proceedings of the 10th international conference on Multiple classifier systems
Ensembles of decision trees for imbalanced data
MCS'11 Proceedings of the 10th international conference on Multiple classifier systems
Random feature weights for decision tree ensemble construction
Information Fusion
Accurate regression-based 4D mitral valve surface reconstruction from 2D+t MRI slices
MLMI'11 Proceedings of the Second international conference on Machine learning in medical imaging
Using model trees and their ensembles for imbalanced data
CAEPIA'11 Proceedings of the 14th international conference on Advances in artificial intelligence: spanish association for artificial intelligence
To select or to weigh: a comparative study of model selection and model weighing for SPODE ensembles
ECML'06 Proceedings of the 17th European conference on Machine Learning
Combining active learning and semi-supervised for improving learning performance
Proceedings of the 4th International Symposium on Applied Sciences in Biomedical and Communication Technologies
Further improving emerging pattern based classifiers via bagging
PAKDD'06 Proceedings of the 10th Pacific-Asia conference on Advances in Knowledge Discovery and Data Mining
Improving ensembles with classificational cellular automata
IDEAL'05 Proceedings of the 6th international conference on Intelligent Data Engineering and Automated Learning
Pattern classification using a penalized likelihood method
ANNPR'10 Proceedings of the 4th IAPR TC3 conference on Artificial Neural Networks in Pattern Recognition
Combining bias and variance reduction techniques for regression trees
ECML'05 Proceedings of the 16th European conference on Machine Learning
Bagging random trees for estimation of tissue softness
MLDM'05 Proceedings of the 4th international conference on Machine Learning and Data Mining in Pattern Recognition
Cascading customized naïve bayes couple
AI'10 Proceedings of the 23rd Canadian conference on Advances in Artificial Intelligence
One-against-all ensemble for multiclass pattern classification
Applied Soft Computing
IWANN'05 Proceedings of the 8th international conference on Artificial Neural Networks: computational Intelligence and Bioinspired Systems
Supervised subspace projections for constructing ensembles of classifiers
Information Sciences: an International Journal
Mobility detection using everyday GSM traces
UbiComp'06 Proceedings of the 8th international conference on Ubiquitous Computing
Evolving feed-forward neural networks through evolutionary mutation parameters
IDEAL'06 Proceedings of the 7th international conference on Intelligent Data Engineering and Automated Learning
Evaluation of particle swarm optimization effectiveness in classification
WILF'05 Proceedings of the 6th international conference on Fuzzy Logic and Applications
The discovery and use of ordinal information on attribute values in classifier learning
AI'11 Proceedings of the 24th international conference on Advances in Artificial Intelligence
Diagnosing Breast Masses in Digital Mammography Using Feature Selection and Ensemble Methods
Journal of Medical Systems
PISA: A framework for multiagent classification using argumentation
Data & Knowledge Engineering
Multi-agent based classification using argumentation from experience
Autonomous Agents and Multi-Agent Systems
Techniques for efficient learning without search
PAKDD'12 Proceedings of the 16th Pacific-Asia conference on Advances in Knowledge Discovery and Data Mining - Volume Part I
Feature Extraction for Dynamic Integration of Classifiers
Fundamenta Informaticae
Local Feature Selection with Dynamic Integration of Classifiers
Fundamenta Informaticae - Intelligent Systems
Accurate Prediction of Coronary Artery Disease Using Reliable Diagnosis System
Journal of Medical Systems
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
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
Kernel Factory: An ensemble of kernel machines
Expert Systems with Applications: An International Journal
Decision trees: a recent overview
Artificial Intelligence Review
An empirical study of learning from imbalanced data
ADC '11 Proceedings of the Twenty-Second Australasian Database Conference - Volume 115
AusDM '12 Proceedings of the Tenth Australasian Data Mining Conference - Volume 134
AusDM '12 Proceedings of the Tenth Australasian Data Mining Conference - Volume 134
Classifier Ensemble Methods for Diagnosing COPD from Volatile Organic Compounds in Exhaled Air
International Journal of Knowledge Discovery in Bioinformatics
Learning ensemble classifiers via restricted Boltzmann machines
Pattern Recognition Letters
Sentiment classification: The contribution of ensemble learning
Decision Support Systems
Alleviating naive Bayes attribute independence assumption by attribute weighting
The Journal of Machine Learning Research
Artificial Intelligence Review
A novel feature subset selection algorithm based on association rule mining
Intelligent Data Analysis
A hybrid decision tree classifier
Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology
Integrating global and local application of random subspace ensemble
Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology
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MultiBoosting is an extension to the highly successful AdaBoost technique for forming decision committees. MultiBoosting can be viewed as combining AdaBoost with wagging. It is able to harness both AdaBoost's high bias and variance reduction with wagging's superior variance reduction. Using C4.5 as the base learning algorithm, MultiBoosting is demonstrated to produce decision committees with lower error than either AdaBoost or wagging significantly more often than the reverse over a large representative cross-section of UCI data sets. It offers the further advantage over AdaBoost of suiting parallel execution.