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» Inference in Bayesian Networks
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DSP
2007
15 years 6 months ago
Blind separation of nonlinear mixtures by variational Bayesian learning
Blind separation of sources from nonlinear mixtures is a challenging and often ill-posed problem. We present three methods for solving this problem: an improved nonlinear factor a...
Antti Honkela, Harri Valpola, Alexander Ilin, Juha...
IJAR
2011
86views more  IJAR 2011»
14 years 10 months ago
On open questions in the geometric approach to structural learning Bayesian nets
The basic idea of an algebraic approach to learning Bayesian network (BN) structures is to represent every BN structure by a certain uniquely determined vector, called the standar...
Milan Studený, Jirí Vomlel
GLOBECOM
2006
IEEE
16 years 20 days ago
AS Path Inference by Exploiting Known AS Paths
Abstract— Inferring AS-level end-to-end paths can be a valuable tool for both network operators and researchers. A widely known technique for inferring end-to-end paths is to per...
Jian Qiu, Lixin Gao
KDD
2002
ACM
171views Data Mining» more  KDD 2002»
16 years 7 months ago
Mining complex models from arbitrarily large databases in constant time
In this paper we propose a scaling-up method that is applicable to essentially any induction algorithm based on discrete search. The result of applying the method to an algorithm ...
Geoff Hulten, Pedro Domingos
JMM2
2007
122views more  JMM2 2007»
15 years 6 months ago
Hierarchical Model-Based Activity Recognition With Automatic Low-Level State Discovery
Abstract— Activity recognition in video streams is increasingly important for both the computer vision and artificial intelligence communities. Activity recognition has many app...
Justin Muncaster, Yunqian Ma