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» Computational models of classical conditioning
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ICASSP
2011
IEEE
13 years 10 days ago
Scalable robust hypothesis tests using graphical models
Traditional binary hypothesis testing relies on the precise knowledge of the probability density of an observed random vector conditioned on each hypothesis. However, for many app...
Divyanshu Vats, Vishal Monga, Umamahesh Srinivas, ...
ECSQARU
2005
Springer
14 years 2 months ago
Conditional Deduction Under Uncertainty
Conditional deduction in binary logic basically consists of deriving new statements from an existing set of statements and conditional rules. Modus Ponens, which is the classical e...
Audun Jøsang, Simon Pope, Milan Daniel
ICCPOL
2009
Springer
13 years 6 months ago
A Simple and Efficient Model Pruning Method for Conditional Random Fields
Conditional random fields (CRFs) have been quite successful in various machine learning tasks. However, as larger and larger data become acceptable for the current computational ma...
Hai Zhao, Chunyu Kit
PVLDB
2008
123views more  PVLDB 2008»
13 years 8 months ago
Propagating functional dependencies with conditions
The dependency propagation problem is to determine, given a view defined on data sources and a set of dependencies on the sources, whether another dependency is guaranteed to hold...
Wenfei Fan, Shuai Ma, Yanli Hu, Jie Liu, Yinghui W...
ICMT
2009
Springer
14 years 3 months ago
Pattern-Based Model-to-Model Transformation: Handling Attribute Conditions
Abstract. Pattern-based model-to-model transformation is a new approach for specifying transformations in a declarative, relational and formal style. The language relies on pattern...
Esther Guerra, Juan de Lara, Fernando Orejas