204 search results - page 14 / 41 » Learning locally minimax optimal Bayesian networks |
208
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JMLR
2008
15 years 6 months ago
2008
The linear model with sparsity-favouring prior on the coefficients has important applications in many different domains. In machine learning, most methods to date search for maxim...
201
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Source Code
A library for developing portable applications that deal with networking, threads (message passing, futures, etc...), graphical interfaces, complex data structures, linear algebra,...
179
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ICASSP
2009
IEEE
2009
IEEE
Time-space-sequential algorithms for distributed Bayesian state estimation in serial sensor networks
16 years 1 months ago
We consider distributed estimation of a time-dependent, random state vector based on a generally nonlinear/non-Gaussian state-space model. The current state is sensed by a serial ...
172
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ICML
2006
IEEE
16 years 7 months ago
2006
IEEE
This paper examines high dimensional regression with noise-contaminated input and output data. Goals of such learning problems include optimal prediction with noiseless query poin...
163
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FLAIRS
2004
15 years 8 months ago
2004
We propose a new approach for learning Bayesian classifiers from data. Although it relies on traditional Bayesian network (BN) learning algorithms, the effectiveness of our approa...