566 search results - page 49 / 114 » Approximation Spaces in Machine Learning and Pattern Recogni... |
148
Voted
JCP
2008
15 years 3 months ago
2008
kernel canonical correlation analysis (KCCA) is a recently addressed supervised machine learning methods, which shows to be a powerful approach of extracting nonlinear features for...
184
click to vote
GBRPR
2007
Springer
15 years 7 months ago
2007
Springer
Abstract. This paper proposes an expert peering system for information exchange. Our objective is to develop a real-time search engine for an online community where users can ask e...
124
click to vote
ICML
2005
IEEE
16 years 4 months ago
2005
IEEE
This paper presents a novel framework called proto-reinforcement learning (PRL), based on a mathematical model of a proto-value function: these are task-independent basis function...
129
click to vote
ICNC
2005
Springer
15 years 8 months ago
2005
Springer
Abstract. In recent years, support vector machines (SVMs) have become a popular tool for pattern recognition and machine learning. Training a SVM involves solving a constrained qua...
140
Voted
KDD
2005
ACM
16 years 3 months ago
2005
ACM
We describe an algorithm for converting linear support vector machines and any other arbitrary hyperplane-based linear classifiers into a set of non-overlapping rules that, unlike...