71 search results - page 6 / 15 » Learning low dimensional predictive representations |
ALT
2008
Springer
14 years 4 months ago
2008
Springer
Abstract For many centuries scientists have wondered how the human brain represents thoughts in terms of the underlying biology of neural activity. Philosophers, linguists, cogniti...
NIPS
1993
13 years 8 months ago
1993
Most connectionist research has focused on learning mappings from one space to another (eg. classification and regression). This paper introduces the more general task of learnin...
ICML
2006
IEEE
14 years 8 months ago
2006
IEEE
We present a new, statistical approach to rule learning. Doing so, we address two of the problems inherent in traditional rule learning: The computational hardness of finding rule...
JMLR
2012
11 years 10 months ago
2012
We study the problem of learning a group of principal tasks using a group of auxiliary tasks, unrelated to the principal ones. In many applications, joint learning of unrelated ta...
ICPR
2008
IEEE
14 years 1 months ago
2008
IEEE
Simple binary patterns have been successfully used for extracting feature representations for visual object classification. In this paper, we present a method to learn a set of d...