566 search results - page 36 / 114 » Approximation Spaces in Machine Learning and Pattern Recogni... |
142
click to vote
BC
2006
15 years 3 months ago
2006
Abstract The cerebral cortex utilizes spatiotemporal continuity in the world to help build invariant representations. In vision, these might be representations of objects. The temp...
111
click to vote
CIARP
2006
Springer
15 years 7 months ago
2006
Springer
Linear dimensionality reduction (LDR) is quite important in pattern recognition due to its efficiency and low computational complexity. In this paper, we extend the two-class Chern...
126
click to vote
ICML
2009
IEEE
16 years 4 months ago
2009
IEEE
Reinforcement Learning methods for controlling stochastic processes typically assume a small and discrete action space. While continuous action spaces are quite common in real-wor...
116
click to vote
ALT
2003
Springer
15 years 6 months ago
2003
Springer
Abstract. Inductive inference can be considered as one of the fundamental paradigms of algorithmic learning theory. We survey results recently obtained and show their impact to pot...
126
click to vote
KDD
2004
ACM
15 years 8 months ago
2004
ACM
Like many purely data-driven machine learning methods, Support Vector Machine (SVM) classifiers are learned exclusively from the evidence presented in the training dataset; thus ...