378 search results - page 60 / 76 » Learning to Rank with Supplementary Data |
136
Voted
SLSFS
2005
Springer
15 years 9 months ago
2005
Springer
Abstract. Matrix factorization is a fundamental building block in many computer vision and machine learning algorithms. In this work we focus on the problem of ”structure from mo...
147
Voted
SIGIR
2012
ACM
13 years 6 months ago
2012
ACM
In this paper, we tackle the problem of top-N context-aware recommendation for implicit feedback scenarios. We frame this challenge as a ranking problem in collaborative filterin...
138
Voted
VLDB
2007
ACM
15 years 9 months ago
2007
ACM
Real-world datasets exhibit a complex dependency structure among the data attributes. Learning this structure is a key task in automatic statistics configuration for query optimi...
104
Voted
KDD
2005
ACM
16 years 4 months ago
2005
ACM
We describe an application of relational knowledge discovery to a key regulatory mission of the National Association of Securities Dealers (NASD). NASD is the world's largest...
119
Voted
ISPW
2008
IEEE
15 years 10 months ago
2008
IEEE
Most process models calibrate their internal settings using historical data. Collecting this data is expensive, tedious, and often an incomplete process. Is it possible to make acc...