Combining Nearest Neighbor Classifiers Through Multiple Feature Subsets

MetaCost: a general method for making classifiers cost-sensitive

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

A New Version of Rough Set Exploration System

TSCTC '02 Proceedings of the Third International Conference on Rough Sets and Current Trends in Computing

Discovering of Correlation from Multi-stream of Human Motion

DS '00 Proceedings of the Third International Conference on Discovery Science

Extraction of Primitive Motion and Discovery of Association Rules from Human Motion Data

Progress in Discovery Science, Final Report of the Japanese Discovery Science Project

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

Input Decimation Ensembles: Decorrelation through Dimensionality Reduction

MCS '01 Proceedings of the Second 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

Recycling data for multi-agent learning

ICML '05 Proceedings of the 22nd international conference on Machine learning

Reducing weight undertraining in structured discriminative learning

HLT-NAACL '06 Proceedings of the main conference on Human Language Technology Conference of the North American Chapter of the Association of Computational Linguistics

Classification of gene-expression data: The manifold-based metric learning way

Pattern Recognition

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

Ensembling evidential k-nearest neighbor classifiers through multi-modal perturbation

Applied Soft Computing

Distributed Nearest Neighbor-Based Condensation of Very Large Data Sets

IEEE Transactions on Knowledge and Data Engineering

Fast Nearest Neighbor Condensation for Large Data Sets Classification

IEEE Transactions on Knowledge and Data Engineering

A lazy bagging approach to classification

Pattern Recognition

Performance Analysis of Classifier Ensembles: Neural Networks Versus Nearest Neighbor Rule

IbPRIA '07 Proceedings of the 3rd Iberian conference on Pattern Recognition and Image Analysis, Part I

Neighborhood-Based Local Sensitivity

ECML '07 Proceedings of the 18th European conference on Machine Learning

k-NN Aggregation with a Stacked Email Representation

ECCBR '08 Proceedings of the 9th European conference on Advances in Case-Based Reasoning

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

Parallel algorithms for mining association rules in time series data

ISPA'03 Proceedings of the 2003 international conference on Parallel and distributed processing and applications

Creating diverse nearest-neighbour ensembles using simultaneous metaheuristic feature selection

Pattern Recognition Letters

Sparse ensembles using weighted combination methods based on linear programming

Pattern Recognition

An ensemble of filters and classifiers for microarray data classification

Pattern Recognition

Case-based reasoning ensemble and business application: A computational approach from multiple case representations driven by randomness

Expert Systems with Applications: An International Journal

A direct boosting algorithm for the k-nearest neighbor classifier via local warping of the distance metric

Pattern Recognition Letters

Exploiting efficient parallelism for mining rules in time series data

HPCC'05 Proceedings of the First international conference on High Performance Computing and Communications

Eigenclassifiers for combining correlated classifiers

Information Sciences: an International Journal

Genetic algorithm based k-means fast learning artificial neural network

AI'04 Proceedings of the 17th Australian joint conference on Advances in Artificial Intelligence

Virtual attribute subsetting

AI'06 Proceedings of the 19th Australian joint conference on Artificial Intelligence: advances in Artificial Intelligence

Supply chain trust diagnosis (SCTD) using inductive case-based reasoning ensemble (ICBRE): The case of general competence trust diagnosis

Applied Soft Computing

Improving nearest neighbor classification by elimination of noisy irrelevant features

ACIIDS'12 Proceedings of the 4th Asian conference on Intelligent Information and Database Systems - Volume Part II

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

Harmony-based feature selection to improve the nearest neighbor classification

Proceedings of the Second International Conference on Computational Science, Engineering and Information Technology

Steeler nation, 12th man, and boo birds: classifying Twitter user interests using time series

Proceedings of the 2013 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining