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» An Empirical Approach to the Interpretation of Superlatives
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IJPRAI
2002
93views more  IJPRAI 2002»
14 years 9 months ago
Improving Stability of Decision Trees
Decision-tree algorithms are known to be unstable: small variations in the training set can result in different trees and different predictions for the same validation examples. B...
Mark Last, Oded Maimon, Einat Minkov
81
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ICMCS
2009
IEEE
118views Multimedia» more  ICMCS 2009»
14 years 7 months ago
Is this joke really funny? judging the mirth by audiovisual laughter analysis
This paper presents the results of an empirical study suggesting that, while laughter is a very good indicator of amusement, the kind of laughter (unvoiced laughter vs.voiced laug...
Stavros Petridis, Maja Pantic
JMLR
2010
129views more  JMLR 2010»
14 years 4 months ago
Expectation Truncation and the Benefits of Preselection In Training Generative Models
We show how a preselection of hidden variables can be used to efficiently train generative models with binary hidden variables. The approach is based on Expectation Maximization (...
Jörg Lücke, Julian Eggert
3DIM
2011
IEEE
13 years 10 months ago
Human Body Shape Prediction and Analysis Using Predictive Clustering Tree
—Predictive modeling aims at constructing models that predict a target property of an object based on its descriptions. In digital human modeling, it can be applied to predicting...
Pengcheng Xi, Hongyu Guo, Chang Shu
AAAI
2006
14 years 11 months ago
Bayesian Reputation Modeling in E-Marketplaces Sensitive to Subjectivity, Deception and Change
We present a model for buying agents in e-marketplaces to interpret evaluations of sellers provided by other buying agents, known as advisors. The interpretation of seller evaluat...
Kevin Regan, Pascal Poupart, Robin Cohen