204 search results - page 14 / 41 » Learning locally minimax optimal Bayesian networks |
JMLR
2008
14 years 9 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...
Source Code
A library for developing portable applications that deal with networking, threads (message passing, futures, etc...), graphical interfaces, complex data structures, linear algebra,...
ICASSP
2009
IEEE
2009
IEEE
Time-space-sequential algorithms for distributed Bayesian state estimation in serial sensor networks
15 years 4 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 ...
ICML
2006
IEEE
15 years 10 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...
FLAIRS
2004
14 years 10 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...