Characterization of Classification Algorithms

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

Combining RBF Networks Trained by Different Clustering Techniques

Neural Processing Letters

A perspective view and survey of meta-learning

Artificial Intelligence Review

Ranking Learning Algorithms: Using IBL and Meta-Learning on Accuracy and Time Results

Machine Learning

A Comparison of Ranking Methods for Classification Algorithm Selection

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

Estimating the Predictive Accuracy of a Classifier

EMCL '01 Proceedings of the 12th European Conference on Machine Learning

Zoomed Ranking: Selection of Classification Algorithms Based on Relevant Performance Information

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

Feature Selection for Meta-learning

PAKDD '01 Proceedings of the 5th Pacific-Asia Conference on Knowledge Discovery and Data Mining

Quantifying the Resilience of Inductive Classification Algorithms

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

Knowledge-Based Visualization to Support Spatial Data Mining

IDA '99 Proceedings of the Third International Symposium on Advances in Intelligent Data Analysis

Learning in design: From characterizing dimensions to working systems

Artificial Intelligence for Engineering Design, Analysis and Manufacturing

Introduction to the Special Issue on Meta-Learning

Machine Learning

On Data and Algorithms: Understanding Inductive Performance

Machine Learning

Theoretical Comparison between the Gini Index and Information Gain Criteria

Annals of Mathematics and Artificial Intelligence

Toward Intelligent Assistance for a Data Mining Process: An Ontology-Based Approach for Cost-Sensitive Classification

IEEE Transactions on Knowledge and Data Engineering

Predicting the Performance of Learning Algorithms Using Support Vector Machines as Meta-regressors

ICANN '08 Proceedings of the 18th international conference on Artificial Neural Networks, Part I

Cross-disciplinary perspectives on meta-learning for algorithm selection

ACM Computing Surveys (CSUR)

Active Generation of Training Examples in Meta-Regression

ICANN '09 Proceedings of the 19th International Conference on Artificial Neural Networks: Part I

Review:

The Knowledge Engineering Review

Auto-experimentation of KDD workflows based on ontological planning

ISWC'10 Proceedings of the 9th international semantic web conference on The semantic web - Volume Part II

Prediction of classifier training time including parameter optimization

KI'11 Proceedings of the 34th Annual German conference on Advances in artificial intelligence

Automatic recommendation of classification algorithms based on data set characteristics

Pattern Recognition

Analyzing Online Review Helpfulness Using a Regressional ReliefF-Enhanced Text Mining Method

ACM Transactions on Management Information Systems (TMIS)

Local Tangent Distances for Classification Problems

WI-IAT '12 Proceedings of the The 2012 IEEE/WIC/ACM International Joint Conferences on Web Intelligence and Intelligent Agent Technology - Volume 01

Efficient feature size reduction via predictive forward selection

Pattern Recognition

A feature subset selection algorithm automatic recommendation method

Journal of Artificial Intelligence Research

Automatic selection of classification learning algorithms for data mining practitioners

Intelligent Data Analysis

A novel feature subset selection algorithm based on association rule mining

Intelligent Data Analysis