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» Combining programs and state machines
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CORR
2006
Springer
130views Education» more  CORR 2006»
13 years 8 months ago
Genetic Programming for Kernel-based Learning with Co-evolving Subsets Selection
Abstract. Support Vector Machines (SVMs) are well-established Machine Learning (ML) algorithms. They rely on the fact that i) linear learning can be formalized as a well-posed opti...
Christian Gagné, Marc Schoenauer, Mich&egra...
DISCO
1993
156views Hardware» more  DISCO 1993»
14 years 23 days ago
Variant Handling, Inheritance and Composition in the ObjectMath Computer Algebra Environment
ObjectMath is a high-level programming environment and modeling language for scientific computing which supports variants and graphical browsing in the environment and integrates o...
Peter Fritzson, Vadim Engelson, Lars Viklund
ICFP
2006
ACM
14 years 8 months ago
Modelling deterministic concurrent I/O
The problem of expressing I/O and side effects in functional languages is a well-established one. This paper addresses this problem from a general semantic viewpoint by giving a u...
Malcolm Dowse, Andrew Butterfield
ICML
2008
IEEE
14 years 9 months ago
Sample-based learning and search with permanent and transient memories
We present a reinforcement learning architecture, Dyna-2, that encompasses both samplebased learning and sample-based search, and that generalises across states during both learni...
David Silver, Martin Müller 0003, Richard S. ...
LOGCOM
2010
120views more  LOGCOM 2010»
13 years 3 months ago
Paraconsistent Machines and their Relation to Quantum Computing
We describe a method to axiomatize computations in deterministic Turing machines (TMs). When applied to computations in non-deterministic TMs, this method may produce contradictor...
Juan C. Agudelo, Walter Alexandre Carnielli