Error reduction through learning multiple descriptions

On the Accuracy of Meta-learning for Scalable Data Mining

Journal of Intelligent Information Systems

Robust classification systems for imprecise environments

AAAI '98/IAAI '98 Proceedings of the fifteenth national/tenth conference on Artificial intelligence/Innovative applications of artificial intelligence

A Framework for Collaborative, Content-Based and Demographic Filtering

Artificial Intelligence Review - Special issue on data mining on the Internet

An Experimental Comparison of Three Methods for Constructing Ensembles of Decision Trees: Bagging, Boosting, and Randomization

Machine Learning

Cascade Generalization

Machine Learning

Robust Classification for Imprecise Environments

Machine Learning

On Fusers that Perform Better than Best Sensor

IEEE Transactions on Pattern Analysis and Machine Intelligence

A Survey of Methods for Scaling Up Inductive Algorithms

Data Mining and Knowledge Discovery

Toward effective knowledge acquisition with first-order logic induction

Journal of Computer Science and Technology

A perspective view and survey of meta-learning

Artificial Intelligence Review

Combining Classifiers with Meta Decision Trees

Machine Learning

Confirmation Rule Sets

PKDD '00 Proceedings of the 4th European Conference on Principles of Data Mining and Knowledge Discovery

Ensembles of Learning Machines

WIRN VIETRI 2002 Proceedings of the 13th Italian Workshop on Neural Nets-Revised Papers

Improving Supervised Learning by Feature Decomposition

FoIKS '02 Proceedings of the Second International Symposium on Foundations of Information and Knowledge Systems

Probing Knowledge in Distributed Data Mining

PAKDD '99 Proceedings of the Third Pacific-Asia Conference on Methodologies for Knowledge Discovery and Data Mining

Different Ways of Weakening Decision Trees and Their Impact on Classification Accuracy of DT Combination

MCS '00 Proceedings of the First International Workshop on Multiple Classifier Systems

Ensemble Methods in Machine Learning

MCS '00 Proceedings of the First International Workshop on Multiple Classifier Systems

Limiting the Number of Trees in Random Forests

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

Minimum majority classification and boosting

Eighteenth national conference on Artificial intelligence

Data mining tasks and methods: scalability

Handbook of data mining and knowledge discovery

Model selection for medical diagnosis decision support systems

Decision Support Systems

On Data and Algorithms: Understanding Inductive Performance

Machine Learning

Improving accuracy in word class tagging through the combination of machine learning systems

Computational Linguistics

Improving data driven wordclass tagging by system combination

COLING '98 Proceedings of the 17th international conference on Computational linguistics - Volume 1

A DEA approach for model combination

Proceedings of the tenth ACM SIGKDD international conference on Knowledge discovery and data mining

Text classification based on data partitioning and parameter varying ensembles

Proceedings of the 2005 ACM symposium on Applied computing

Automated construction of database interfaces: integrating statistical and relational learning for semantic parsing

EMNLP '00 Proceedings of the 2000 Joint SIGDAT conference on Empirical methods in natural language processing and very large corpora: held in conjunction with the 38th Annual Meeting of the Association for Computational Linguistics - Volume 13

Extremely randomized trees

Machine Learning

A probabilistic classifier system and its application in data mining

Evolutionary Computation

Effective classification of noisy data streams with attribute-oriented dynamic classifier selection

Knowledge and Information Systems

Combining Information Extraction Systems Using Voting and Stacked Generalization

The Journal of Machine Learning Research

Non-strict heterogeneous Stacking

Pattern Recognition Letters

Feature set decomposition for decision trees

Intelligent Data Analysis

Induction of decision trees in numeric domains using set-valued attributes

Intelligent Data Analysis

Methods and algorithms of collective recognition

Automation and Remote Control

Collective-agreement-based pruning of ensembles

Computational Statistics & Data Analysis

Taxonomy for characterizing ensemble methods in classification tasks: A review and annotated bibliography

Computational Statistics & Data Analysis

A fast ensemble pruning algorithm based on pattern mining process

Data Mining and Knowledge Discovery

On Feature Selection, Bias-Variance, and Bagging

ECML PKDD '09 Proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases: Part II

Issues in stacked generalization

Journal of Artificial Intelligence Research

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

Performance analysis of a part of speech tagging task

CICLing'03 Proceedings of the 4th international conference on Computational linguistics and intelligent text processing

A low variance error boosting algorithm

Applied Intelligence

GIGO or not GIGO: The Accuracy of Multi-Criteria Satisficing Decisions

Journal of Data and Information Quality (JDIQ)

Robust ensemble learning for mining noisy data streams

Decision Support Systems

Improving hierarchical document signature performance by classifier combination

ICONIP'10 Proceedings of the 17th international conference on Neural information processing: theory and algorithms - Volume Part I

A novel training weighted ensemble (TWE) with application to face recognition

Applied Soft Computing

Intrusion detection using neural based hybrid classification methods

Computer Networks: The International Journal of Computer and Telecommunications Networking

Adaptive ROC-based ensembles of HMMs applied to anomaly detection

Pattern Recognition

Using confusion matrices and confusion graphs to design ensemble classification models from large datasets

DaWaK'11 Proceedings of the 13th international conference on Data warehousing and knowledge discovery

Using OVA modeling to improve classification performance for large datasets

Expert Systems with Applications: An International Journal

Cascade evaluation of clustering algorithms

ECML'06 Proceedings of the 17th European conference on Machine Learning

Using decision tree models and diversity measures in the selection of ensemble classification models

MCS'05 Proceedings of the 6th international conference on Multiple Classifier Systems

A mixture of experts for classifying sleep apneas

Expert Systems with Applications: An International Journal

Margin distribution based bagging pruning

Neurocomputing

Two-level classifier ensembles for credit risk assessment

Expert Systems with Applications: An International Journal

Dynamic learning model update of hybrid-classifiers for intrusion detection

The Journal of Supercomputing

Base Model Combination Algorithm for Resolving Tied Predictions for K-Nearest Neighbor OVA Ensemble Models

INFORMS Journal on Computing

Positive-versus-Negative Classification for Model Aggregation in Predictive Data Mining

INFORMS Journal on Computing

Parallelized extreme learning machine ensemble based on min-max modular network

Neurocomputing

A metric for unsupervised metalearning

Intelligent Data Analysis