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» Task-Structure Analysis for Knowledge Modeling
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IDA
2003
Springer
14 years 3 months ago
Guided Incremental Construction of Belief Networks
Because uncertain reasoning is often intractable, it is hard to reason with a large amount of knowledge. One solution to this problem is to specify a set of possible models, some s...
Charles A. Sutton, Brendan Burns, Clayton T. Morri...
BMCBI
2006
119views more  BMCBI 2006»
13 years 10 months ago
Hidden Markov Model Variants and their Application
Markov statistical methods may make it possible to develop an unsupervised learning process that can automatically identify genomic structure in prokaryotes in a comprehensive way...
Stephen Winters-Hilt
BMCBI
2007
128views more  BMCBI 2007»
13 years 10 months ago
Model order selection for bio-molecular data clustering
Background: Cluster analysis has been widely applied for investigating structure in bio-molecular data. A drawback of most clustering algorithms is that they cannot automatically ...
Alberto Bertoni, Giorgio Valentini
HASE
1998
IEEE
14 years 2 months ago
Formal Specification in Collaborative Design of Critical Software Tools
Engineers use software tools to analyze designs for critical systems. Because important decisions are based on tool results, tools must provide valid modeling constructs; engineer...
David Coppit, Kevin J. Sullivan
MM
2004
ACM
248views Multimedia» more  MM 2004»
14 years 3 months ago
Incremental semi-supervised subspace learning for image retrieval
Subspace learning techniques are widespread in pattern recognition research. They include Principal Component Analysis (PCA), Locality Preserving Projection (LPP), etc. These tech...
Xiaofei He