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ML
2008
ACM
222views Machine Learning» more  ML 2008»
15 years 6 months ago
Boosted Bayesian network classifiers
The use of Bayesian networks for classification problems has received significant recent attention. Although computationally efficient, the standard maximum likelihood learning me...
Yushi Jing, Vladimir Pavlovic, James M. Rehg
TITB
2008
178views more  TITB 2008»
15 years 6 months ago
Automated Diagnosis of Coronary Artery Disease Based on Data Mining and Fuzzy Modeling
A fuzzy rule-based decision support system (DSS) is presented for the diagnosis of coronary artery disease (CAD). The system is automatically generated from an initial annotated da...
Markos G. Tsipouras, Themis P. Exarchos, Dimitrios...
TOG
2008
100views more  TOG 2008»
15 years 6 months ago
Laughing out loud: control for modeling anatomically inspired laughter using audio
We present a novel technique for generating animation of laughter for a character. Our approach utilizes an anatomically inspired, physics-based model of a human torso that includ...
Paul C. DiLorenzo, Victor B. Zordan, Benjamin L. S...
SIAMJO
2010
130views more  SIAMJO 2010»
15 years 1 months ago
A Randomized Cutting Plane Method with Probabilistic Geometric Convergence
Abstract. We propose a randomized method for general convex optimization problems; namely, the minimization of a linear function over a convex body. The idea is to generate N rando...
Fabrizio Dabbene, P. S. Shcherbakov, Boris T. Poly...
AAAI
2011
14 years 7 months ago
Recommendation Sets and Choice Queries: There Is No Exploration/Exploitation Tradeoff!
Utility elicitation is an important component of many applications, such as decision support systems and recommender systems. Such systems query users about their preferences and ...
Paolo Viappiani, Craig Boutilier