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KBS
2006
231views more  KBS 2006»
15 years 3 months ago
Predicting football results using Bayesian nets and other machine learning techniques
Bayesian networks (BNs) provide a means for representing, displaying, and making available in a usable form the knowledge of experts in a given Weld. In this paper, we look at the...
A. Joseph, Norman E. Fenton, Martin Neil
103
Voted
CORR
2008
Springer
69views Education» more  CORR 2008»
15 years 3 months ago
Solving Time of Least Square Systems in Sigma-Pi Unit Networks
The solving of least square systems is a useful operation in neurocomputational modeling of learning, pattern matching, and pattern recognition. In these last two cases, the soluti...
Pierre Courrieu
125
Voted
ECAL
2005
Springer
15 years 8 months ago
The Quantitative Law of Effect is a Robust Emergent Property of an Evolutionary Algorithm for Reinforcement Learning
An evolutionary reinforcement-learning algorithm, the operation of which was not associated with an optimality condition, was instantiated in an artificial organism. The algorithm ...
J. J. McDowell, Zahra Ansari
GECCO
2010
Springer
173views Optimization» more  GECCO 2010»
15 years 8 months ago
Evolving the placement and density of neurons in the hyperneat substrate
The Hypercube-based NeuroEvolution of Augmenting Topologies (HyperNEAT) approach demonstrated that the pattern of weights across the connectivity of an artificial neural network ...
Sebastian Risi, Joel Lehman, Kenneth O. Stanley
108
Voted
FC
2007
Springer
138views Cryptology» more  FC 2007»
15 years 9 months ago
Cryptographic Securities Exchanges
While transparency in financial markets should enhance liquidity, its exploitation by unethical and parasitic traders discourages others from fully embracing disclosure of their o...
Christopher Thorpe, David C. Parkes