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» On learning in agent-centered search
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SIGIR
2009
ACM
16 years 1 months ago
Extracting structured information from user queries with semi-supervised conditional random fields
When search is against structured documents, it is beneficial to extract information from user queries in a format that is consistent with the backend data structure. As one step...
Xiao Li, Ye-Yi Wang, Alex Acero
TRECVID
2008
15 years 8 months ago
IBM Research TRECVID-2008 Video Retrieval System
In this paper, we describe the IBM Research system for indexing, analysis, and retrieval of video as applied to the TREC-2008 video retrieval benchmark. This year, focus of the sy...
Apostol Natsev, John R. Smith, Jelena Tesic, Lexin...
ICML
2006
IEEE
16 years 7 months ago
Bayesian pattern ranking for move prediction in the game of Go
We investigate the problem of learning to predict moves in the board game of Go from game records of expert players. In particular, we obtain a probability distribution over legal...
David H. Stern, Ralf Herbrich, Thore Graepel
ICML
2004
IEEE
16 years 7 months ago
Training conditional random fields via gradient tree boosting
Conditional Random Fields (CRFs; Lafferty, McCallum, & Pereira, 2001) provide a flexible and powerful model for learning to assign labels to elements of sequences in such appl...
Thomas G. Dietterich, Adam Ashenfelter, Yaroslav B...
IEEECIT
2009
IEEE
16 years 1 months ago
Clustering of Software Systems Using New Hybrid Algorithms
—Software clustering is a method for increasing software system understanding and maintenance. Software designers, first use MDG graph to model the structure of software system. ...
Ali Safari Mamaghani, Mohammad Reza Meybodi