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115
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JMLR
2010
14 years 9 months ago
2010
We present a continuous time Bayesian network reasoning and learning engine (CTBN-RLE). A continuous time Bayesian network (CTBN) provides a compact (factored) description of a co...
133
Voted
ICASSP
2011
IEEE
14 years 6 months ago
2011
IEEE
The power of sparse signal coding with learned overcomplete dictionaries has been demonstrated in a variety of applications and fields, from signal processing to statistical infe...
131
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CORR
2012
Springer
13 years 10 months ago
2012
Springer
The problem of learning the structure of Bayesian networks from complete discrete data with a limit on parent set size is considered. Learning is cast explicitly as an optimisatio...
121
Voted
ICIP
2006
IEEE
16 years 4 months ago
2006
IEEE
In this paper we present a new scheme for detection and tracking of specific objects in a knowledge-based framework. The scheme uses a supervised learning method: Support Vector M...
116
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ICSE
2009
IEEE-ACM
16 years 3 months ago
2009
IEEE-ACM
Goal-oriented methods have increasingly been recognised as an effective means for eliciting, elaborating, analysing and specifying software requirements. A key activity in these a...