696 search results - page 70 / 140 » Probabilistic-Logic Models: Reasoning and Learning with Rela... |
129
click to vote
IJON
2002
15 years 4 months ago
2002
We study the relation between maps of a high-dimensional stimulus manifold onto an essentially two-dimensional cortical area and low-dimensional maps of stimulus features such as ...
136
click to vote
ICML
2003
IEEE
16 years 5 months ago
2003
IEEE
Many techniques in the social sciences and graph theory deal with the problem of examining and analyzing patterns found in the underlying structure and associations of a group of ...
155
click to vote
DLOG
2003
15 years 5 months ago
2003
The purpose of the chapter is to help someone familiar with DLs to understand the issues involved in developing an ontology for some universe of discourse, which is to become a co...
125
click to vote
NIPS
2003
15 years 5 months ago
2003
In models that define probabilities via energies, maximum likelihood learning typically involves using Markov Chain Monte Carlo to sample from the model’s distribution. If the ...
147
click to vote
ICML
2004
IEEE
16 years 5 months ago
2004
IEEE
Markov networks are extensively used to model complex sequential, spatial, and relational interactions in fields as diverse as image processing, natural language analysis, and bio...