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138
Voted
UAI
2004
15 years 4 months ago
2004
Bayesian learning in undirected graphical models--computing posterior distributions over parameters and predictive quantities-is exceptionally difficult. We conjecture that for ge...
99
Voted
ISMVL
1999
IEEE
15 years 7 months ago
1999
IEEE
In this paper, the theory of information relationships and relationship measures is considered and its application to logic design is discussed. This theory makes operational the ...
122
Voted
LCPC
2005
Springer
15 years 8 months ago
2005
Springer
Compilers employ system models, sometimes implicitly, to make code optimization decisions. These models are analytic; they reflect their implementor’s understanding and beliefs ...
168
Voted
ICTAI
2010
IEEE
15 years 1 days ago
2010
IEEE
This work deals with a new technique for the estimation of the parameters and number of components in a finite mixture model. The learning procedure is performed by means of a expe...
122
Voted
MM
2005
ACM
15 years 8 months ago
2005
ACM
In this paper we unify two supposedly distinct tasks in multimedia retrieval. One task involves answering queries with a few examples. The other involves learning models for seman...