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ICANN
2001
Springer
15 years 7 months ago
Fast Training of Support Vector Machines by Extracting Boundary Data
Support vector machines have gotten wide acceptance for their high generalization ability for real world applications. But the major drawback is slow training for classification p...
Shigeo Abe, Takuya Inoue
DATE
2010
IEEE
168views Hardware» more  DATE 2010»
15 years 7 months ago
Verifying UML/OCL models using Boolean satisfiability
Abstract--Nowadays, modeling languages like UML are essential in the design of complex software systems and also start to enter the domain of hardware and hardware/software codesig...
Mathias Soeken, Robert Wille, Mirco Kuhlmann, Mart...
DMKD
1999
ACM
108views Data Mining» more  DMKD 1999»
15 years 7 months ago
Classification as Mining and Use of Labeled Itemsets
We investigate the relationship between association and classification mining. The main issue in association mining is the discovery of interesting patterns of the data, so called...
Dimitris Meretakis, Beat Wüthrich
AI50
2006
15 years 7 months ago
Development Via Information Self-structuring of Sensorimotor Experience and Interaction
actvoid.se Abstract. We describe how current work in Artificial Intelligence is using rigorous tools from information theory, namely information distance and experience distance to...
Chrystopher L. Nehaniv, Naeem Assif Mirza, Lars Ol...
DSD
2004
IEEE
126views Hardware» more  DSD 2004»
15 years 6 months ago
Boolean Minimizer FC-Min: Coverage Finding Process
This paper describes principles of a novel two-level multi-output Boolean minimizer FC-Min, namely its Find Coverage phase. The problem of Boolean minimization is approached in a ...
Petr Fiser, Hana Kubatova