Sciweavers

4352 search results - page 241 / 871
» A Representation Theorem and Applications
Sort
View
ICML
2004
IEEE
16 years 8 months ago
Convergence of synchronous reinforcement learning with linear function approximation
Synchronous reinforcement learning (RL) algorithms with linear function approximation are representable as inhomogeneous matrix iterations of a special form (Schoknecht & Merk...
Artur Merke, Ralf Schoknecht
ICML
2004
IEEE
16 years 8 months ago
Learning with non-positive kernels
In this paper we show that many kernel methods can be adapted to deal with indefinite kernels, that is, kernels which are not positive semidefinite. They do not satisfy Mercer...
Alexander J. Smola, Cheng Soon Ong, Stéphan...
ICML
1999
IEEE
16 years 8 months ago
Simple DFA are Polynomially Probably Exactly Learnable from Simple Examples
E cient learning of DFA is a challenging research problem in grammatical inference. Both exact and approximate (in the PAC sense) identi ability of DFA from examples is known to b...
Rajesh Parekh, Vasant Honavar
ICCAD
2002
IEEE
176views Hardware» more  ICCAD 2002»
16 years 4 months ago
High capacity and automatic functional extraction tool for industrial VLSI circuit designs
In this paper we present an advanced functional extraction tool for automatic generation of high-level RTL from switch-level circuit netlist representation. The tool is called FEV...
Sasha Novakovsky, Shy Shyman, Ziyad Hanna
FOSSACS
2009
Springer
16 years 2 months ago
On Global Model Checking Trees Generated by Higher-Order Recursion Schemes
Higher-order recursion schemes are systems of rewrite rules on typed non-terminal symbols, which can be used to define infinite trees. The Global Modal Mu-Calculus Model Checking...
Christopher Broadbent, C.-H. Luke Ong