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Machine Learning (ML) - July 1999, issue 1-2 论文列表

本期论文列表
Guest Editors' Introduction

A Principal Components Approach to Combining Regression Estimates

Using Correspondence Analysis to Combine Classifiers

Linearly Combining Density Estimators via Stacking

Pasting Small Votes for Classification in Large Databases and On-Line

An Empirical Comparison of Voting Classification Algorithms: Bagging, Boosting, and Variants

Structural Results About On-line Learning Models With and Without Queries

An Efficient Extension to Mixture Techniques for Prediction and Decision Trees

General and Efficient Multisplitting of Numerical Attributes