272 search results - page 36 / 55 » Regression Learning Vector Quantization |
NIPS
2003
13 years 9 months ago
2003
We propose a novel method of dimensionality reduction for supervised learning. Given a regression or classification problem in which we wish to predict a variable Y from an expla...
NIPS
2007
13 years 9 months ago
2007
We present a globally convergent method for regularized risk minimization problems. Our method applies to Support Vector estimation, regression, Gaussian Processes, and any other ...
AAAI
2006
13 years 9 months ago
2006
A novel and simple combination of inductive logic programming with kernel methods is presented. The kFOIL algorithm integrates the well-known inductive logic programming system FO...
GECCO
2003
Springer
14 years 26 days ago
2003
Springer
Abstract. Self-Organizing Map (SOM) is an unsupervised learning neural network and it is used for preserving the structural relationships in the data without prior knowledge. SOM h...
KDD
1998
ACM
13 years 12 months ago
1998
ACM
This paper develops the concept of usefulness in the context of supervised learning. We argue that usefulness can be used to improve the performance of classification rules (as me...