Machine Learning （ML） - January 2002, issue 1-3 论文列表
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| 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 |
本期论文列表
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?