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» Complex Zero-Knowledge Proofs of Knowledge Are Easy to Use
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81
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ICDM
2005
IEEE
116views Data Mining» more  ICDM 2005»
15 years 6 months ago
Learning Functional Dependency Networks Based on Genetic Programming
Bayesian Network (BN) is a powerful network model, which represents a set of variables in the domain and provides the probabilistic relationships among them. But BN can handle dis...
Wing-Ho Shum, Kwong-Sak Leung, Man Leung Wong
120
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CORR
2010
Springer
111views Education» more  CORR 2010»
14 years 9 months ago
Analysis Of Cancer Omics Data In A Semantic Web Framework
Our work concerns the elucidation of the cancer (epi)genome, transcriptome and proteome to better understand the complex interplay between a cancer cell's molecular state and ...
Matthew Holford, James P. McCusker, Kei-Hoi Cheung...
102
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IANDC
2006
103views more  IANDC 2006»
15 years 13 days ago
Bisimulation and cocongruence for probabilistic systems
We introduce a new notion of bisimulation, called event bisimulation on labelled Markov processes (LMPs) and compare it with the, now standard, notion of probabilistic bisimulatio...
Vincent Danos, Josee Desharnais, François L...
102
Voted
SEMWEB
2001
Springer
15 years 4 months ago
OntoMap - the Guide to the Upper-Level
Abstract. The upper-level ontologies are theories that capture the most common concepts, which are relevant for many of the tasks involving knowledge extraction, representation, an...
Atanas K. Kirakov, Marin Dimitrov
GFKL
2007
Springer
163views Data Mining» more  GFKL 2007»
15 years 4 months ago
Fast Support Vector Machine Classification of Very Large Datasets
In many classification applications, Support Vector Machines (SVMs) have proven to be highly performing and easy to handle classifiers with very good generalization abilities. Howe...
Janis Fehr, Karina Zapien Arreola, Hans Burkhardt