2245 search results - page 186 / 449 » Metrics that Learn Relevance |
98
Voted
ML
2006
ACM
15 years 21 days ago
2006
ACM
We present a new algorithm for Bayesian network structure learning, called Max-Min Hill-Climbing (MMHC). The algorithm combines ideas from local learning, constraint-based, and sea...
123
Voted
ECIR
2009
Springer
15 years 10 months ago
2009
Springer
Abstract. Learning ranking functions is crucial for solving many problems, ranging from document retrieval to building recommendation systems based on an individual user’s prefer...
116
Voted
WISE
2007
Springer
15 years 7 months ago
2007
Springer
Abstract. The key for providing a robust context for personalized information retrieval is to build a library which gathers the long term and the short term user’s interests and ...
81
Voted
SIGIR
2003
ACM
15 years 6 months ago
2003
ACM
A novel maximal figure-of-merit (MFoM) learning approach to text categorization is proposed. Different from the conventional techniques, the proposed MFoM method attempts to integ...
90
Voted
DAGM
1995
Springer
15 years 4 months ago
1995
Springer
We introduce a learning algorithm for the weights in a very common class of discrimination functions usually called weighted average". Di erent submodules are produced by som...