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JMLR
2010
95views more  JMLR 2010»
13 years 2 months ago
Feature Extraction for Machine Learning: Logic-Probabilistic Approach
The paper analyzes peculiarities of preprocessing of learning data represented in object data bases constituted by multiple relational tables with ontology on top of it. Exactly s...
Vladimir Gorodetsky, Vladimir Samoilov
ASIAN
2007
Springer
126views Algorithms» more  ASIAN 2007»
14 years 1 months ago
Computational Semantics for Basic Protocol Logic - A Stochastic Approach
Abstract. This paper is concerned about relating formal and computational models of cryptography in case of active adversaries when formal security analysis is done with first ord...
Gergei Bana, Koji Hasebe, Mitsuhiro Okada
CORR
2011
Springer
143views Education» more  CORR 2011»
12 years 11 months ago
Probabilistic Logic: Many-valuedness and Intensionality
The probability theory is a well-studied branch of mathematics, in order to carry out formal reasoning about probability. Thus, it is important to have a logic, both for computati...
Zoran Majkic
JSW
2007
126views more  JSW 2007»
13 years 7 months ago
Supporting UML Sequence Diagrams with a Processor Net Approach
— UML sequence diagrams focus on the interaction between different classes. For distributed real time transaction processing it is possible to end up with complex sequence diagra...
Tony Spiteri Staines
IRI
2008
IEEE
14 years 1 months ago
Model check stochastic supply chains
—Supply chain [2], [6] is an important component of business operations. Understanding its stochastic behaviors is the key to risk analysis and performance evaluation in supply c...
Li Tan, Shenghan Xu