7006 search results - page 384 / 1402 » Approximation Algorithms |
120
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AAAI
2007
15 years 7 months ago
2007
A new spectral approach to value function approximation has recently been proposed to automatically construct basis functions from samples. Global basis functions called proto-val...
148
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ACL
2006
15 years 6 months ago
2006
Lasso is a regularization method for parameter estimation in linear models. It optimizes the model parameters with respect to a loss function subject to model complexities. This p...
154
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UAI
2001
15 years 6 months ago
2001
This paper presents a new deterministic approximation technique in Bayesian networks. This method, "Expectation Propagation," unifies two previous techniques: assumed-de...
144
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SDM
2003
SIAM
15 years 6 months ago
2003
SIAM
In earlier work we have introduced and explored a variety of different probabilistic models for the problem of answering selectivity queries posed to large sparse binary data set...
138
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ATAL
2010
Springer
15 years 5 months ago
2010
Springer
In the course allocation problem, a university administrator seeks to efficiently and fairly allocate schedules of over-demanded courses to students with heterogeneous preferences...