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FUZZIEEE
2007
IEEE
16 years 1 months ago
Learning Undirected Possibilistic Networks with Conditional Independence Tests
—Approaches based on conditional independence tests are among the most popular methods for learning graphical models from data. Due to the predominance of Bayesian networks in th...
Christian Borgelt
ISMVL
2005
IEEE
90views Hardware» more  ISMVL 2005»
16 years 7 days ago
Test Generation and Fault Localization for Quantum Circuits
It is believed that quantum computing will begin to have a practical impact in industry around year 2010. We propose an approach to test generation and fault localization for a wi...
Marek A. Perkowski, Jacob Biamonte, Martin Lukac
ARGMAS
2005
Springer
16 years 6 days ago
Testing Formal Dialectic
Systems of argumentation or ’computational dialectic’ are emerging as a powerful means of structuring inter-agent communication in multi-agent systems. Individual systems of co...
Simon Wells, Chris Reed
KDD
2000
ACM
133views Data Mining» more  KDD 2000»
15 years 10 months ago
Data selection for support vector machine classifiers
The problem of extracting a minimal number of data points from a large dataset, in order to generate a support vector machine (SVM) classifier, is formulated as a concave minimiza...
Glenn Fung, Olvi L. Mangasarian
ICML
2005
IEEE
16 years 7 months ago
Healing the relevance vector machine through augmentation
The Relevance Vector Machine (RVM) is a sparse approximate Bayesian kernel method. It provides full predictive distributions for test cases. However, the predictive uncertainties ...
Carl Edward Rasmussen, Joaquin Quiñonero Ca...