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ACL
2004
15 years 6 months ago
Annealing Techniques For Unsupervised Statistical Language Learning
Exploiting unannotated natural language data is hard largely because unsupervised parameter estimation is hard. We describe deterministic annealing (Rose et al., 1990) as an appea...
Noah A. Smith, Jason Eisner
SOSP
1997
ACM
15 years 6 months ago
Automated Hoarding for Mobile Computers
A common problem facing mobile computing is disconnected operation, or computing in the absence of a network. Hoarding eases disconnected operation by selecting a subset of the us...
Geoffrey H. Kuenning, Gerald J. Popek
DAGSTUHL
1993
15 years 6 months ago
Guaranteeing Safe Destructive Updates Through a Type System with Uniqueness Information for Graphs
In this paper we present a type system for graph rewrite systems: uniqueness typing. It employs usage information to deduce whether an object is `unique' at a certain moment,...
Sjaak Smetsers, Erik Barendsen, Marko C. J. D. van...
ICML
2010
IEEE
15 years 5 months ago
Bottom-Up Learning of Markov Network Structure
The structure of a Markov network is typically learned using top-down search. At each step, the search specializes a feature by conjoining it to the variable or feature that most ...
Jesse Davis, Pedro Domingos
CORR
2008
Springer
126views Education» more  CORR 2008»
15 years 4 months ago
Non-Negative Matrix Factorization, Convexity and Isometry
Traditional Non-Negative Matrix Factorization (NMF) [19] is a successful algorithm for decomposing datasets into basis function that have reasonable interpretation. One problem of...
Nikolaos Vasiloglou, Alexander G. Gray, David V. A...
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