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AAAI
1996
14 years 11 months ago
A Graph-Based Method for Improving GSAT
GSAT is a randomized greedy local repair procedure that was introduced for solving propositional satis ability and constraint satisfaction problems. We present an improvement to G...
Kalev Kask, Rina Dechter
CORR
2010
Springer
129views Education» more  CORR 2010»
14 years 10 months ago
The complexity of positive first-order logic without equality
We study the complexity of evaluating positive equality-free sentences of first-order (FO) logic over a fixed, finite structure B. This may be seen as a natural generalisation of ...
Florent R. Madelaine, Barnaby Martin
CORR
2008
Springer
107views Education» more  CORR 2008»
14 years 10 months ago
Randomized Methods for Linear Constraints: Convergence Rates and Conditioning
We study randomized variants of two classical algorithms: coordinate descent for systems of linear equations and iterated projections for systems of linear inequalities. Expanding...
D. Leventhal, A. S. Lewis
98
Voted
CVPR
2007
IEEE
16 years 6 days ago
Adaptive Distance Metric Learning for Clustering
A good distance metric is crucial for unsupervised learning from high-dimensional data. To learn a metric without any constraint or class label information, most unsupervised metr...
Jieping Ye, Zheng Zhao, Huan Liu
89
Voted
ICML
2008
IEEE
15 years 11 months ago
Fast solvers and efficient implementations for distance metric learning
In this paper we study how to improve nearest neighbor classification by learning a Mahalanobis distance metric. We build on a recently proposed framework for distance metric lear...
Kilian Q. Weinberger, Lawrence K. Saul