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» An algorithmic framework for network reconstruction
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151
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JMLR
2008
209views more  JMLR 2008»
15 years 3 months ago
Bayesian Inference and Optimal Design for the Sparse Linear Model
The linear model with sparsity-favouring prior on the coefficients has important applications in many different domains. In machine learning, most methods to date search for maxim...
Matthias W. Seeger
164
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TNN
2010
174views Management» more  TNN 2010»
14 years 10 months ago
Equivalences between neural-autoregressive time series models and fuzzy systems
Soft computing (SC) emerged as an integrating framework for a number of techniques that could complement one another quite well (artificial neural networks, fuzzy systems, evolutio...
José Luis Aznarte, José Manuel Ben&i...
126
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IJCNN
2006
IEEE
15 years 9 months ago
Evolutionary Ensemble Creation and Thinning
— Ensembles are often capable of greater predictive accuracy than any of their individual members. One key attribute of ensembles’ success is the notion of diversity. However, ...
Jared Sylvester, Nitesh V. Chawla
ARGMAS
2004
Springer
15 years 9 months ago
Specifying and Implementing a Persuasion Dialogue Game Using Commitments and Arguments
In this paper we propose a new persuasion dialogue game for agent communication. We show how this dialogue game is modeled by a framework based on social commitments and arguments....
Jamal Bentahar, Bernard Moulin, Brahim Chaib-draa
109
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NIPS
2007
15 years 5 months ago
Learning with Tree-Averaged Densities and Distributions
We utilize the ensemble of trees framework, a tractable mixture over superexponential number of tree-structured distributions [1], to develop a new model for multivariate density ...
Sergey Kirshner