330 search results - page 13 / 66 » Learning Concept Importance Using a Weighted Dependence Mode... |
AAAI
2006
14 years 11 months ago
2006
Reasoning with both probabilistic and deterministic dependencies is important for many real-world problems, and in particular for the emerging field of statistical relational lear...
SODA
2001
ACM
14 years 11 months ago
2001
ACM
Markov networks are a common class of graphical models used in machine learning. Such models use an undirected graph to capture dependency information among random variables in a ...
WWW
2003
ACM
15 years 10 months ago
2003
ACM
Traditionally, when one wants to learn about a particular topic, one reads a book or a survey paper. With the rapid expansion of the Web, learning in-depth knowledge about a topic...
ICCV
2009
IEEE
16 years 2 months ago
2009
IEEE
Image auto-annotation is an important open problem in
computer vision. For this task we propose TagProp, a discriminatively
trained nearest neighbor model. Tags of test
images a...
WIKIS
2006
ACM
15 years 3 months ago
2006
ACM
Learning effectiveness depends on a large range of parameters. Learners’ activity has an important impact on long-term learning and comprehension of difficult concepts [1]. Coll...