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» Variable Additive Preconditioning Procedures
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NIPS
2007
13 years 10 months ago
Compressed Regression
Recent research has studied the role of sparsity in high dimensional regression and signal reconstruction, establishing theoretical limits for recovering sparse models from sparse...
Shuheng Zhou, John D. Lafferty, Larry A. Wasserman
UAI
1996
13 years 9 months ago
Learning Bayesian Networks with Local Structure
In this paper we examine a novel addition to the known methods for learning Bayesian networks from data that improves the quality of the learned networks. Our approach explicitly ...
Nir Friedman, Moisés Goldszmidt
ATAL
2010
Springer
13 years 9 months ago
Cooperative problem solving against adversary: quantified distributed constraint satisfaction problem
In this paper, we extend the traditional formalization of a Distributed Constraint Satisfaction Problems (DisCSP) to a Quantified DisCSP. A Quantified DisCSP includes several unive...
Satomi Baba, Atsushi Iwasaki, Makoto Yokoo, Marius...
ICML
2006
IEEE
14 years 9 months ago
Deterministic annealing for semi-supervised kernel machines
An intuitive approach to utilizing unlabeled data in kernel-based classification algorithms is to simply treat unknown labels as additional optimization variables. For marginbased...
Vikas Sindhwani, S. Sathiya Keerthi, Olivier Chape...
LPKR
1997
Springer
14 years 20 days ago
Knowledge Representation with Logic Programs
In this overview we show how Knowledge Representation (KR) can be done with the help of generalized logic programs. We start by introducing the core of PROLOG, which is based on de...
Gerhard Brewka, Jürgen Dix