3643 search results - page 237 / 729 » Learning Submodular Functions |
165
click to vote
IJCAI
1989
15 years 7 months ago
1989
In real-world domains a concept to be learned may be unwieldy and the environment may be less than ideal. One combination of difficulties occurs if the concept is probabilistic an...
170
click to vote
JMLR
2010
15 years 1 months ago
2010
Virtually all methods of learning dynamic systems from data start from the same basic assumption: the learning algorithm will be given a sequence of data generated from the dynami...
168
click to vote
CVPR
2005
IEEE
16 years 8 months ago
2005
IEEE
We develop a framework for learning generic, expressive image priors that capture the statistics of natural scenes and can be used for a variety of machine vision tasks. The appro...
175
click to vote
CVPR
2007
IEEE
16 years 8 months ago
2007
IEEE
We introduce novel discriminative learning algorithms for dynamical systems. Models such as Conditional Random Fields or Maximum Entropy Markov Models outperform the generative Hi...
201
click to vote
ICML
2006
IEEE
16 years 7 months ago
2006
IEEE
There has been a recent, growing interest in classification and link prediction in structured domains. Methods such as conditional random fields and relational Markov networks sup...