24680 search results - page 264 / 4936 » Learning to |
174
click to vote
IJCAI
2007
15 years 8 months ago
2007
Deictic representation is a representational paradigm, based on selective attention and pointers, that allows an agent to learn and reason about rich complex environments. In this...
153
click to vote
NIPS
2003
15 years 8 months ago
2003
We address in this paper the question of how the knowledge of the marginal distribution P(x) can be incorporated in a learning algorithm. We suggest three theoretical methods for ...
157
click to vote
ICML
2010
IEEE
15 years 4 months ago
2010
IEEE
We provide a novel view of learning an approximate model of a partially observable environment from data and present a simple implemenf the idea. The learned model abstracts away ...
162
Voted
CVPR
2008
IEEE
16 years 8 months ago
2008
IEEE
Dynamic visual category learning calls for efficient adaptation as new training images become available or new categories are defined, existing training images or categories becom...