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JAIR
1998
198views more  JAIR 1998»
15 years 6 months ago
Probabilistic Inference from Arbitrary Uncertainty using Mixtures of Factorized Generalized Gaussians
This paper presents a general and efficient framework for probabilistic inference and learning from arbitrary uncertain information. It exploits the calculation properties of fini...
Alberto Ruiz, Pedro E. López-de-Teruel, M. ...
IJAR
2010
120views more  IJAR 2010»
15 years 5 months ago
Comparison of tightly and loosely coupled decision paradigms in multiagent expedition
Frameworks for cooperative multiagent decision making may be divided into those where each agent is assigned a single variable (SVFs) and those where each agent carries an interna...
Yang Xiang, Franklin Hanshar
ICDM
2010
IEEE
127views Data Mining» more  ICDM 2010»
15 years 4 months ago
Learning Markov Network Structure with Decision Trees
Traditional Markov network structure learning algorithms perform a search for globally useful features. However, these algorithms are often slow and prone to finding local optima d...
Daniel Lowd, Jesse Davis
TIP
2011
164views more  TIP 2011»
15 years 1 months ago
Multiregion Image Segmentation by Parametric Kernel Graph Cuts
Abstract—The purpose of this study is to investigate multiregion graph cut image partitioning via kernel mapping of the image data. The image data is transformed implicitly by a ...
Mohamed Ben Salah, Amar Mitiche, Ismail Ben Ayed
COR
2007
134views more  COR 2007»
15 years 6 months ago
Portfolio selection using neural networks
In this paper we apply a heuristic method based on artificial neural networks (NN) in order to trace out the efficient frontier associated to the portfolio selection problem. We...
Alberto Fernández, Sergio Gómez