5109 search results - page 361 / 1022 » On Learning Limiting Programs |
232
click to vote
WWW
2010
ACM
16 years 1 months ago
2010
ACM
Recommender systems are an important component of many websites. Two of the most popular approaches are based on matrix factorization (MF) and Markov chains (MC). MF methods learn...
198
click to vote
ICCV
2009
IEEE
16 years 11 months ago
2009
IEEE
Visual categorization problems, such as object classification or action recognition,
are increasingly often approached using a detection strategy: a classifier function
is first ...
158
click to vote
CVPR
2006
IEEE
16 years 8 months ago
2006
IEEE
Object detection can be posted as those classification tasks where the rare positive patterns are to be distinguished from the enormous negative patterns. To avoid the danger of m...
202
click to vote
ICML
1995
IEEE
16 years 7 months ago
1995
IEEE
Partially observable Markov decision processes (pomdp's) model decision problems in which an agent tries to maximize its reward in the face of limited and/or noisy sensor fee...
216
Voted
ICASSP
2009
IEEE
16 years 1 months ago
2009
IEEE
We propose a new active learning algorithm to address the problem of selecting a limited subset of utterances for transcribing from a large amount of unlabeled utterances so that ...