330 search results - page 8 / 66 » Learning Concept Importance Using a Weighted Dependence Mode... |
ICML
2004
IEEE
14 years 8 months ago
2004
IEEE
Many NLP tasks rely on accurately estimating word dependency probabilities P(w1|w2), where the words w1 and w2 have a particular relationship (such as verb-object). Because of the...
FOCS
2008
IEEE
14 years 2 months ago
2008
IEEE
Learning problems form an important category of computational tasks that generalizes many of the computations researchers apply to large real-life data sets. We ask: what concept ...
MIR
2005
ACM
14 years 1 months ago
2005
ACM
Concept drifting is an important and challenging research issue in the field of machine learning. This paper mainly addresses the issue of semantic concept drifting in time series...
JCP
2006
13 years 7 months ago
2006
Data mining is widely used to identify interesting, potentially useful and understandable patterns from a large data repository. With many organizations focusing on webbased on-lin...
WWW
2009
ACM
14 years 8 months ago
2009
ACM
Automatic categorization of user queries is an important component of general purpose (Web) search engines, particularly for triggering rich, query-specific content and sponsored ...