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COLT
1999
Springer
15 years 11 months ago
On PAC Learning Using Winnow, Perceptron, and a Perceptron-like Algorithm
In this paper we analyze the PAC learning abilities of several simple iterative algorithms for learning linear threshold functions, obtaining both positive and negative results. W...
Rocco A. Servedio
JMLR
2006
153views more  JMLR 2006»
15 years 7 months ago
Collaborative Multiagent Reinforcement Learning by Payoff Propagation
In this article we describe a set of scalable techniques for learning the behavior of a group of agents in a collaborative multiagent setting. As a basis we use the framework of c...
Jelle R. Kok, Nikos A. Vlassis
202
Voted
IEEECIT
2010
IEEE
15 years 4 months ago
Efficiently Using a CUDA-enabled GPU as Shared Resource
GPGPU is getting more and more important, but when using CUDA-enabled GPUs the special characteristics of NVIDIAs SIMT architecture have to be considered. Particularly, it is not ...
Hagen Peters, Martin Koper, Norbert Luttenberger
ICML
1999
IEEE
16 years 7 months ago
Approximation Via Value Unification
: Numerical function approximation over a Boolean domain is a classical problem with wide application to data modeling tasks and various forms of learning. A great many function ap...
Paul E. Utgoff, David J. Stracuzzi
DATE
2007
IEEE
112views Hardware» more  DATE 2007»
16 years 1 months ago
Compact hardware design of Whirlpool hashing core
Weaknesses have recently been found in the widely used cryptographic hash functions SHA-1 and MD5. A potential alternative for these algorithms is the Whirlpool hash function, whi...
Timo Alho, Panu Hämäläinen, Marko H...