论文列表及评分结果
Sufficient Dimensionality Reduction.
电商所评分：8
An Introduction to Variable and Feature Selection.
电商所评分：2
Algorithmic Luckiness.
电商所评分：4
Efficient Algorithms for Universal Portfolios.
电商所评分：5
A Robust Minimax Approach to Classification.
电商所评分：10
The Representational Power of Discrete Bayesian Networks.
电商所评分：5
The Set Covering Machine.
电商所评分：6
Coupled Clustering: A Method for Detecting Structural Correspondence.
电商所评分：6
Some Greedy Learning Algorithms for Sparse Regression and Classification with Mercer Kernels.
电商所评分：10
On Online Learning of Decision Lists.
电商所评分：10
Lyapunov Design for Safe Reinforcement Learning.
电商所评分：1
Grafting: Fast, Incremental Feature Selection by Gradient Descent in Function Space.
电商所评分：4
Variable Selection Using SVM-based Criteria.
电商所评分：8
Overfitting in Making Comparisons Between Variable Selection Methods.
电商所评分：8
MLPs (Mono-Layer Polynomials and Multi-Layer Perceptrons) for Nonlinear Modeling.
电商所评分：7
Finding the Most Interesting Patterns in a Database Quickly by Using Sequential Sampling.
电商所评分：7
Stopping Criterion for Boosting-Based Data Reduction Techniques: from Binary to Multiclass Problem.
电商所评分：4
PAC-Bayesian Generalisation Error Bounds for Gaussian Process Classification.
电商所评分：8
Learning to Construct Fast Signal Processing Implementations.
电商所评分：9
Ranking a Random Feature for Variable and Feature Selection.
电商所评分：2
Cluster Ensembles --- A Knowledge Reuse Framework for Combining Multiple Partitions.
电商所评分：10
Policy Search using Paired Comparisons.
电商所评分：4
The Subspace Information Criterion for Infinite Dimensional Hypothesis Spaces.
电商所评分：1
MDPs: Learning in Varying Environments.
电商所评分：3
Feature Extraction by Non-Parametric Mutual Information Maximization.
电商所评分：9
On the Convergence of Optimistic Policy Iteration.
电商所评分：6
Use of the Zero-Norm with Linear Models and Kernel Methods.
电商所评分：2
Kernel Methods for Relation Extraction.
电商所评分：4
MISEP -- Linear and Nonlinear ICA Based on Mutual Information.
电商所评分：10
Beyond Independent Components: Trees and Clusters.
电商所评分：9