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TCS
2008
14 years 11 months ago
Kernel methods for learning languages
This paper studies a novel paradigm for learning formal languages from positive and negative examples which consists of mapping strings to an appropriate highdimensional feature s...
Leonid Kontorovich, Corinna Cortes, Mehryar Mohri
ECAI
2008
Springer
15 years 1 months ago
Learning to Select Object Recognition Methods for Autonomous Mobile Robots
Selecting which algorithms should be used by a mobile robot computer vision system is a decision that is usually made a priori by the system developer, based on past experience and...
Reinaldo A. C. Bianchi, Arnau Ramisa, Ramon L&oacu...
ESWS
2008
Springer
15 years 1 months ago
Adding Data Mining Support to SPARQL Via Statistical Relational Learning Methods
Exploiting the complex structure of relational data enables to build better models by taking into account the additional information provided by the links between objects. We exten...
Christoph Kiefer, Abraham Bernstein, André ...
JMLR
2006
124views more  JMLR 2006»
14 years 11 months ago
A Direct Method for Building Sparse Kernel Learning Algorithms
Many kernel learning algorithms, including support vector machines, result in a kernel machine, such as a kernel classifier, whose key component is a weight vector in a feature sp...
Mingrui Wu, Bernhard Schölkopf, Gökhan H...
FM
2003
Springer
102views Formal Methods» more  FM 2003»
15 years 5 months ago
Lessons Learned from a Successful Implementation of Formal Methods in an Industrial Project
This paper describes the lessons we learned over a thirteen year period while helping to develop the shutdown systems for the nuclear generating station at Darlington, Ontario, Can...
Alan Wassyng, Mark Lawford