Journal of Machine Learning Research（JMLR ）的ISSUE 6论文列表

卷期号： Issue 6

发布时间：

卷期年份： 2003

卷期官网：

MLPs (Mono-Layer Polynomials and Multi-Layer Perceptrons) for Nonlinear Modeling.

An Introduction to Variable and Feature Selection.

Sufficient Dimensionality Reduction.

Variable Selection Using SVM-based Criteria.

Feature Extraction by Non-Parametric Mutual Information Maximization.

A Family of Additive Online Algorithms for Category Ranking.

An Extensive Empirical Study of Feature Selection Metrics for Text Classification.

Use of the Zero-Norm with Linear Models and Kernel Methods.

Ranking a Random Feature for Variable and Feature Selection.

Benefitting from the Variables that Variable Selection Discards.

Latent Dirichlet Allocation.

Kernel Methods for Relation Extraction.

Extensions to Metric-Based Model Selection.

Matching Words and Pictures.

Overfitting in Making Comparisons Between Variable Selection Methods.

Distributional Word Clusters vs. Words for Text Categorization.

Dimensionality Reduction via Sparse Support Vector Machines.

A Neural Probabilistic Language Model.

Grafting: Fast, Incremental Feature Selection by Gradient Descent in Function Space.

Ultraconservative Online Algorithms for Multiclass Problems.

Word-Sequence Kernels.

A Divisive Information-Theoretic Feature Clustering Algorithm for Text Classification.