Pruning Adaptive Boosting

Improved boosting algorithms using confidence-rated predictions

COLT' 98 Proceedings of the eleventh annual conference on Computational learning theory

Boosting in the limit: maximizing the margin of learned ensembles

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

The application of AdaBoost for distributed, scalable and on-line learning

KDD '99 Proceedings of the fifth ACM SIGKDD international conference on Knowledge discovery and data mining

A simple, fast, and effective rule learner

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

Improved Boosting Algorithms Using Confidence-rated Predictions

Machine Learning - The Eleventh Annual Conference on computational Learning Theory

BoosTexter: A Boosting-based Systemfor Text Categorization

Machine Learning - Special issue on information retrieval

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

Machine Learning

Using a Neural Network to Approximate an Ensemble of Classifiers

Neural Processing Letters

Using Correspondence Analysis to Combine Classifiers

Machine Learning

Distributed Data Mining in Credit Card Fraud Detection

IEEE Intelligent Systems

On the Boosting Pruning Problem

ECML '00 Proceedings of the 11th European Conference on Machine Learning

Some Enhencements of Decision Tree Bagging

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

Shared Ensemble Learning Using Multi-trees

IBERAMIA 2002 Proceedings of the 8th Ibero-American Conference on AI: Advances in Artificial Intelligence

Adaptive Boosting for Spatial Functions with Unstable Driving Attributes

PADKK '00 Proceedings of the 4th Pacific-Asia Conference on Knowledge Discovery and Data Mining, Current Issues and New Applications

Racing Committees for Large Datasets

DS '02 Proceedings of the 5th International Conference on Discovery Science

From Ensemble Methods to Comprehensible Models

DS '02 Proceedings of the 5th International Conference on Discovery Science

Boosted Tree Ensembles for Solving Multiclass Problems

MCS '02 Proceedings of the Third International Workshop on Multiple Classifier Systems

Efficiently Approximating Weighted Sums with Exponentially Many Terms

COLT '01/EuroCOLT '01 Proceedings of the 14th Annual Conference on Computational Learning Theory and and 5th European Conference on Computational Learning Theory

An Empirical Comparison of Pruning Methods for Ensemble Classifiers

IDA '01 Proceedings of the 4th International Conference on Advances in Intelligent Data Analysis

Pruning and dynamic scheduling of cost-sensitive ensembles

Eighteenth national conference on Artificial intelligence

A Fourier Spectrum-Based Approach to Represent Decision Trees for Mining Data Streams in Mobile Environments

IEEE Transactions on Knowledge and Data Engineering

Sources of Success for Boosted Wrapper Induction

The Journal of Machine Learning Research

Multistrategy Ensemble Learning: Reducing Error by Combining Ensemble Learning Techniques

IEEE Transactions on Knowledge and Data Engineering

On approximating weighted sums with exponentially many terms

Journal of Computer and System Sciences

Selecting salient features for classification based on neural network committees

Pattern Recognition Letters

Sharing Classifiers among Ensembles from Related Problem Domains

ICDM '05 Proceedings of the Fifth IEEE International Conference on Data Mining

Pruning in ordered bagging ensembles

ICML '06 Proceedings of the 23rd international conference on Machine learning

Improving cooperative GP ensemble with clustering and pruning for pattern classification

Proceedings of the 8th annual conference on Genetic and evolutionary computation

Rotation Forest: A New Classifier Ensemble Method

IEEE Transactions on Pattern Analysis and Machine Intelligence

An analysis of diversity measures

Machine Learning

What's Wrong with Hit Ratio?

IEEE Intelligent Systems

Detecting social interactions of the elderly in a nursing home environment

ACM Transactions on Multimedia Computing, Communications, and Applications (TOMCCAP)

Using boosting to prune bagging ensembles

Pattern Recognition Letters

Parallelizing AdaBoost by weights dynamics

Computational Statistics & Data Analysis

Ensemble Pruning Via Semi-definite Programming

The Journal of Machine Learning Research

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

Adaptive boosting techniques in heterogeneous and spatial databases

Intelligent Data Analysis

A local boosting algorithm for solving classification problems

Computational Statistics & Data Analysis

An efficient modified boosting method for solving classification problems

Journal of Computational and Applied Mathematics

Cancer classification using Rotation Forest

Computers in Biology and Medicine

AdaBoost with SVM-based component classifiers

Engineering Applications of Artificial Intelligence

A dynamic overproduce-and-choose strategy for the selection of classifier ensembles

Pattern Recognition

Greedy regression ensemble selection: Theory and an application to water quality prediction

Information Sciences: an International Journal

Collective-agreement-based pruning of ensembles

Computational Statistics & Data Analysis

Using Boosting to prune Double-Bagging ensembles

Computational Statistics & Data Analysis

Incremental construction of classifier and discriminant ensembles

Information Sciences: an International Journal

Pruning an ensemble of classifiers via reinforcement learning

Neurocomputing

Ensemble component selection for improving ICA based microarray data prediction models

Pattern Recognition

Semi-random subspace method for face recognition

Image and Vision Computing

A novel method for constructing ensemble classifiers

Statistics and Computing

New ensemble methods for evolving data streams

Proceedings of the 15th ACM SIGKDD international conference on Knowledge discovery and data mining

Focused Ensemble Selection: A Diversity-Based Method for Greedy Ensemble Selection

Proceedings of the 2008 conference on ECAI 2008: 18th European Conference on Artificial Intelligence

On the Effectiveness of Diversity When Training Multiple Classifier Systems

ECSQARU '09 Proceedings of the 10th European Conference on Symbolic and Quantitative Approaches to Reasoning with Uncertainty

Boosting Support Vector Machines Successfully

MCS '09 Proceedings of the 8th International Workshop on Multiple Classifier Systems

Decision Templates Based RBF Network for Tree-Structured Multiple Classifier Fusion

MCS '09 Proceedings of the 8th International Workshop on Multiple Classifier Systems

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

Computational Statistics & Data Analysis

Inducing interpretable voting classifiers without trading accuracy for simplicity: theoretical results, approximation algorithms, and experiments

Journal of Artificial Intelligence Research

Microarray data classification based on ensemble independent component selection

Computers in Biology and Medicine

Forests of nested dichotomies

Pattern Recognition Letters

Improving Adaptive Bagging Methods for Evolving Data Streams

ACML '09 Proceedings of the 1st Asian Conference on Machine Learning: Advances in Machine Learning

Ensemble-based classifiers

Artificial Intelligence Review

Adaptive Stream Mining: Pattern Learning and Mining from Evolving Data Streams

Proceedings of the 2010 conference on Adaptive Stream Mining: Pattern Learning and Mining from Evolving Data Streams

Simple mimetic classifiers

MLDM'03 Proceedings of the 3rd international conference on Machine learning and data mining in pattern recognition

Selecting salient features for classification committees

ICANN/ICONIP'03 Proceedings of the 2003 joint international conference on Artificial neural networks and neural information processing

Selection of decision stumps in bagging ensembles

ICANN'07 Proceedings of the 17th international conference on Artificial neural networks

Selective ensemble of decision trees

RSFDGrC'03 Proceedings of the 9th international conference on Rough sets, fuzzy sets, data mining, and granular computing

Ensemble pruning via individual contribution ordering

Proceedings of the 16th ACM SIGKDD international conference on Knowledge discovery and data mining

Constructing ensembles of classifiers using supervised projection methods based on misclassified instances

Expert Systems with Applications: An International Journal

Sparse ensembles using weighted combination methods based on linear programming

Pattern Recognition

Voting-averaged combination method for regressor ensemble

ICIC'10 Proceedings of the 6th international conference on Advanced intelligent computing theories and applications: intelligent computing

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

ACIIDS'10 Proceedings of the Second international conference on Intelligent information and database systems: Part II

Greedy optimization classifiers ensemble based on diversity

Pattern Recognition

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

An empirical study of multilayer perceptron ensembles for regression tasks

IEA/AIE'10 Proceedings of the 23rd international conference on Industrial engineering and other applications of applied intelligent systems - Volume Part II

Empirical analysis and evaluation of approximate techniques for pruning regression bagging ensembles

Neurocomputing

Random projections for linear SVM ensembles

Applied Intelligence

A probabilistic model of classifier competence for dynamic ensemble selection

Pattern Recognition

Methods of forward feature selection based on the aggregation of classifiers generated by single attribute

Computers in Biology and Medicine

Adaptive ROC-based ensembles of HMMs applied to anomaly detection

Pattern Recognition

Ensemble pruning via base-classifier replacement

WAIM'11 Proceedings of the 12th international conference on Web-age information management

Random feature weights for decision tree ensemble construction

Information Fusion

Semi-supervised classification based on random subspace dimensionality reduction

Pattern Recognition

GRAMOFON: General model-selection framework based on networks

Neurocomputing

Ensembles of Restricted Hoeffding Trees

ACM Transactions on Intelligent Systems and Technology (TIST)

Subspace metric ensembles for semi-supervised clustering of high dimensional data

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

Eigenclassifiers for combining correlated classifiers

Information Sciences: an International Journal

A study of detecting social interaction with sensors in a nursing home environment

ICCV'05 Proceedings of the 2005 international conference on Computer Vision in Human-Computer Interaction

Supervised subspace projections for constructing ensembles of classifiers

Information Sciences: an International Journal

Margin distribution based bagging pruning

Neurocomputing

A measure of competence based on random classification for dynamic ensemble selection

Information Fusion

Semi-supervised ensemble classification in subspaces

Applied Soft Computing

The impact of diversity on the accuracy of evidential classifier ensembles

International Journal of Approximate Reasoning

An experimental study on ensembles of functional trees

MCS'10 Proceedings of the 9th international conference on Multiple Classifier Systems

A double pruning algorithm for classification ensembles

MCS'10 Proceedings of the 9th international conference on Multiple Classifier Systems

Pruning adaptive boosting ensembles by means of a genetic algorithm

IDEAL'06 Proceedings of the 7th international conference on Intelligent Data Engineering and Automated Learning

Incremental face recognition for large-scale social network services

Pattern Recognition

Ensemble pruning for text categorization based on data partitioning

AIRS'11 Proceedings of the 7th Asia conference on Information Retrieval Technology

Ensemble pruning using harmony search

HAIS'12 Proceedings of the 7th international conference on Hybrid Artificial Intelligent Systems - Volume Part II

Ensemble approaches for regression: A survey

ACM Computing Surveys (CSUR)

A competitive ensemble pruning approach based on cross-validation technique

Knowledge-Based Systems

Diversity regularized ensemble pruning

ECML PKDD'12 Proceedings of the 2012 European conference on Machine Learning and Knowledge Discovery in Databases - Volume Part I

Classifier ensemble using a heuristic learning with sparsity and diversity

ICONIP'12 Proceedings of the 19th international conference on Neural Information Processing - Volume Part II

Margin-based ordered aggregation for ensemble pruning

Pattern Recognition Letters

Training efficient tree-based models for document ranking

ECIR'13 Proceedings of the 35th European conference on Advances in Information Retrieval

An ensemble of SVM classifiers based on gene pairs

Computers in Biology and Medicine

Boosting regression methods based on a geometric conversion approach: Using SVMs base learners

Neurocomputing

Cluster ensemble selection based on relative validity indexes

Data Mining and Knowledge Discovery

EUSBoost: Enhancing ensembles for highly imbalanced data-sets by evolutionary undersampling

Pattern Recognition

Malware detection by pruning of parallel ensembles using harmony search

Pattern Recognition Letters

A novel framework to design fuzzy rule-based ensembles using diversity induction and evolutionary algorithms-based classifier selection and fusion

IWANN'13 Proceedings of the 12th international conference on Artificial Neural Networks: advances in computational intelligence - Volume Part I

A novel ensemble pruning algorithm based on randomized greedy selective strategy and ballot

Neurocomputing

A survey of multiple classifier systems as hybrid systems

Information Fusion

Using Bayesian networks for selecting classifiers in GP ensembles

Information Sciences: an International Journal

BoostingTree: parallel selection of weak learners in boosting, with application to ranking

Machine Learning

A novel classifier ensemble method with sparsity and diversity

Neurocomputing