2295 search results - page 52 / 459 » Learning Overcomplete Representations |
EMNLP
2008
13 years 10 months ago
2008
This paper presents a graph-theoretic model of the acquisition of lexical syntactic representations. The representations the model learns are non-categorical or graded. We propose...
ATAL
2010
Springer
13 years 9 months ago
2010
Springer
A central problem in artificial intelligence is to choose actions to maximize reward in a partially observable, uncertain environment. To do so, we must learn an accurate model of ...
ICALT
2006
IEEE
14 years 2 months ago
2006
IEEE
In this paper we deal with knowledge representation in the area of learning design and adaptive learning. Specification of concrete instances is usually context-dependent and does...
GECCO
2005
Springer
14 years 2 months ago
2005
Springer
A powerful approach to search is to try to learn a distribution of good solutions (in particular of the dependencies between their variables) and use this distribution as a basis ...
ICML
2010
IEEE
13 years 9 months ago
2010
IEEE
We develop an efficient learning framework to construct signal dictionaries for sparse representation by selecting the dictionary columns from multiple candidate bases. By sparse,...