627 search results - page 59 / 126 » Learning from Logged Implicit Exploration Data |
104
Voted
ICMCS
2009
IEEE
14 years 10 months ago
2009
IEEE
Large collaborative datasets offer the challenging opportunity of creating systems capable of extracting knowledge in the presence of noisy data. In this work we explore the abili...
CIKM
2000
Springer
15 years 5 months ago
2000
Springer
RankBoost is a recently proposed algorithm for learning ranking functions. It is simple to implement and has strong justifications from computational learning theory. We describe...
94
Voted
AAAI
2004
15 years 2 months ago
2004
This paper introduces a hierarchical Markov model that can learn and infer a user's daily movements through the commue model uses multiple levels of abstraction in order to b...
76
Voted
IADIS
2004
15 years 2 months ago
2004
The increasing use of multimedia in education makes text-production with computers important for students. What kind of role does the Internet play here as an external source of i...
106
Voted
SEMWEB
2010
Springer
14 years 10 months ago
2010
Springer
Many applications make use of named entity classification. Machine learning is the preferred technique adopted for many named entity classification methods where the choice of feat...