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» A Theory of Probabilistic Functional Testing
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ML
2008
ACM
248views Machine Learning» more  ML 2008»
14 years 11 months ago
Feature selection via sensitivity analysis of SVM probabilistic outputs
Feature selection is an important aspect of solving data-mining and machine-learning problems. This paper proposes a feature-selection method for the Support Vector Machine (SVM) l...
Kai Quan Shen, Chong Jin Ong, Xiao Ping Li, Einar ...
TREC
2003
15 years 1 months ago
Identifying Gene Function Descriptions by Probability-based Sentence Selection
This paper proposes an approach to the secondary task in the TREC Genomics Track. We regard the task as identification of the sentences describing gene functions (i.e., GeneRIFs)...
Kazuhiro Seki, Nihar Sheth, Javed Mostafa
GECCO
2007
Springer
155views Optimization» more  GECCO 2007»
15 years 5 months ago
Solving the MAXSAT problem using a multivariate EDA based on Markov networks
Markov Networks (also known as Markov Random Fields) have been proposed as a new approach to probabilistic modelling in Estimation of Distribution Algorithms (EDAs). An EDA employ...
Alexander E. I. Brownlee, John A. W. McCall, Deryc...
ICDT
2010
ACM
211views Database» more  ICDT 2010»
15 years 9 months ago
Probabilistic Data Exchange
The work reported here lays the foundations of data exchange in the presence of probabilistic data. This requires rethinking the very basic concepts of traditional data exchange, ...
Ronald Fagin, Benny Kimelfeld, Phokion Kolaitis
ISIPTA
2003
IEEE
15 years 5 months ago
Geometry of Upper Probabilities
In this paper we adopt the geometric approach to the theory of evidence to study the geometric counterparts of the plausibility functions, or upper probabilities. The computation ...
Fabio Cuzzolin