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» Discovering Conditional Functional Dependencies
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CEC
2008
IEEE
14 years 4 months ago
A particle swarm optimizer with lifespan for global optimization on multimodal functions
—The particle swarm optimizer (PSO) is a popular computing technique of swarm intelligence, known for its fast convergence speed and easy implementation. All the particles in the...
Jun Zhang, Ying Lin
ICDAR
2005
IEEE
14 years 3 months ago
Learning Diagram Parts with Hidden Random Fields
Many diagrams contain compound objects composed of parts. We propose a recognition framework that learns parts in an unsupervised way, and requires training labels only for compou...
Martin Szummer
AGP
1995
IEEE
14 years 1 months ago
Domain Independent Ask Approximation in CCP
The main difficulty in the formalization of a static analysis framework for CC programs is probably related to the correct approximation of the entailment relation between constrai...
Enea Zaffanella
ECAL
2005
Springer
14 years 3 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
NIPS
2008
13 years 11 months ago
Sparse Convolved Gaussian Processes for Multi-output Regression
We present a sparse approximation approach for dependent output Gaussian processes (GP). Employing a latent function framework, we apply the convolution process formalism to estab...
Mauricio Alvarez, Neil D. Lawrence