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KDD
1999
ACM
152views Data Mining» more  KDD 1999»
15 years 4 months ago
Applying General Bayesian Techniques to Improve TAN Induction
Tree Augmented Naive Bayes (TAN) has shown to be competitive with state-of-the-art machine learning algorithms [3]. However, the TAN induction algorithm that appears in [3] can be...
Jesús Cerquides
JMLR
2008
209views more  JMLR 2008»
14 years 11 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
SAGT
2009
Springer
176views Game Theory» more  SAGT 2009»
15 years 6 months ago
Bayesian Auctions with Friends and Foes
We study auctions whose bidders are embedded in a social or economic network. As a result, even bidders who do not win the auction themselves might derive utility from the auction,...
Po-An Chen, David Kempe
DSN
2007
IEEE
15 years 6 months ago
Variational Bayesian Approach for Interval Estimation of NHPP-Based Software Reliability Models
In this paper, we present a variational Bayesian (VB) approach to computing the interval estimates for nonhomogeneous Poisson process (NHPP) software reliability models. This appr...
Hiroyuki Okamura, Michael Grottke, Tadashi Dohi, K...
BVAI
2007
Springer
15 years 6 months ago
The Bayesian Draughtsman: A Model for Visuomotor Coordination in Drawing
Abstract. In this article we present a model of realistic drawing accounting for visuomotor coordination, namely the strategies adopted to coordinate the processes of eye and hand ...
Ruben Coen Cagli, Paolo Coraggio, Paolo Napoletano...