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ICML
2005
IEEE
14 years 9 months ago
Efficient discriminative learning of Bayesian network classifier via boosted augmented naive Bayes
The use of Bayesian networks for classification problems has received significant recent attention. Although computationally efficient, the standard maximum likelihood learning me...
Yushi Jing, Vladimir Pavlovic, James M. Rehg
ICAART
2010
INSTICC
14 years 6 months ago
Complexity of Stochastic Branch and Bound Methods for Belief Tree Search in Bayesian Reinforcement Learning
There has been a lot of recent work on Bayesian methods for reinforcement learning exhibiting near-optimal online performance. The main obstacle facing such methods is that in most...
Christos Dimitrakakis
ICASSP
2009
IEEE
14 years 3 months ago
Structured variational methods for distributed inference in wireless ad hoc and sensor networks
Abstract –In this paper, a variational message passing framework is proposed for Markov random fields, which is computationally more efficient and admits wider applicability comp...
Yanbing Zhang, Huaiyu Dai
GCC
2003
Springer
14 years 2 months ago
A New Navigation Method for Web Users
Despite the growth of Internet and the advances in WWW technology, current methods for web users to make good use of information from so enormous web pages are not as efficient as ...
Jie Yang, Guoqing Wu, Luis Zhu
ICIP
1998
IEEE
14 years 1 months ago
A Statistical Method for Discrimination of Natural Terrain Types from SAR Data
In this paper we propose a method for discrimination of underlying textural structures from spotlight-mode synthetic aperture radar (SAR) returns by using a tomographic data acqui...
Müjdat Çetin, William Clement Karl