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DKE
2007
95views more  DKE 2007»
15 years 6 months ago
Strategies for improving the modeling and interpretability of Bayesian networks
One of the main factors for the knowledge discovery success is related to the comprehensibility of the patterns discovered by applying data mining techniques. Amongst which we can...
Ádamo L. de Santana, Carlos Renato Lisboa F...
JMLR
2010
125views more  JMLR 2010»
15 years 1 months ago
Continuous Time Bayesian Network Reasoning and Learning Engine
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...
Christian R. Shelton, Yu Fan, William Lam, Joon Le...
IJCNN
2008
IEEE
16 years 1 months ago
Dynamic logic of phenomena and cognition
—Modeling of complex phenomena such as the mind presents tremendous computational complexity challenges. The neural modeling fields theory (NMF) addresses these challenges in a n...
Boris Kovalerchuk, Leonid I. Perlovsky
LOPSTR
2005
Springer
16 years 7 days ago
An Algorithm for Local Variable Elimination in Normal Logic Programs
A variable is local if it occurs in a clause body but not in its head. Local variables appear naturally in practical logic programming, but they complicate several aspects such as ...
Javier Álvez, Paqui Lucio
DATE
2006
IEEE
151views Hardware» more  DATE 2006»
16 years 24 days ago
Designing MRF based error correcting circuits for memory elements
As devices are scaled to the nanoscale regime, it is clear that future nanodevices will be plagued by higher soft error rates and reduced noise margins. Traditional implementation...
Kundan Nepal, R. Iris Bahar, Joseph L. Mundy, Will...