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SIGIR
2008
ACM
13 years 8 months ago
Personalized active learning for collaborative filtering
Collaborative Filtering (CF) requires user-rated training examples for statistical inference about the preferences of new users. Active learning strategies identify the most infor...
Abhay Harpale, Yiming Yang
TIT
1998
216views more  TIT 1998»
13 years 7 months ago
Data Compression and Harmonic Analysis
In this article we review some recent interactions between harmonic analysis and data compression. The story goes back of course to Shannon’s R(D) theory in the case of Gaussian...
David L. Donoho, Martin Vetterli, Ronald A. DeVore...
CSL
2010
Springer
13 years 9 months ago
From Feasible Proofs to Feasible Computations
We shall discuss several situations in which it is possible to extract from a proof, be it a proof in a first-order theory or a propositional proof, some feasible computational inf...
Jan Krajícek
POPL
2008
ACM
14 years 8 months ago
Relevance heuristics for program analysis
Relevance heuristics allow us to tailor a program analysis to a particular property to be verified. This in turn makes it possible to improve the precision of the analysis where n...
Kenneth L. McMillan
ISIPTA
2003
IEEE
111views Mathematics» more  ISIPTA 2003»
14 years 1 months ago
The DecideIT Decision Tool
The nature of much information available to decision makers is vague and imprecise, be it information for human managers in organisations or for process agents in a distributed co...
Mats Danielson, Love Ekenberg, Jim Johansson, Aron...