Machine Learning（ML ）的JANUARY 2002, ISSUE 1-3论文列表

卷期号： January 2002, issue 1-3

发布时间：

卷期年份： 2002

卷期官网： https://link.springer.com/journal/10994/volumes-and-issues/46-1

Editorial: Kernel Methods: Current Research and Future Directions

On a Connection between Kernel PCA and Metric Multidimensional Scaling

Bayesian Methods for Support Vector Machines: Evidence and Predictive Class Probabilities

Hierarchical Learning in Polynomial Support Vector Machines

A Probabilistic Framework for SVM Regression and Error Bar Estimation

On the Dual Formulation of Regularized Linear Systems with Convex Risks

Choosing Multiple Parameters for Support Vector Machines

Training Invariant Support Vector Machines

Support Vector Machines for Classification in Nonstandard Situations

An Analytic Center Machine

Linear Programming Boosting via Column Generation

Large Scale Kernel Regression via Linear Programming

Efficient SVM Regression Training with SMO

A Simple Decomposition Method for Support Vector Machines

Feasible Direction Decomposition Algorithms for Training Support Vector Machines

Convergence of a Generalized SMO Algorithm for SVM Classifier Design

The Relaxed Online Maximum Margin Algorithm

Gene Selection for Cancer Classification using Support Vector Machines

Text Categorization with Support Vector Machines. How to Represent Texts in Input Space?