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» Bias Windowing for Relational Learning
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ICML
2006
IEEE
15 years 10 months ago
Efficient lazy elimination for averaged one-dependence estimators
Semi-naive Bayesian classifiers seek to retain the numerous strengths of naive Bayes while reducing error by weakening the attribute independence assumption. Backwards Sequential ...
Fei Zheng, Geoffrey I. Webb
ICML
1997
IEEE
15 years 10 months ago
Characterizing the generalization performance of model selection strategies
Abstract: We investigate the structure of model selection problems via the bias/variance decomposition. In particular, we characterize the essential structure of a model selection ...
Dale Schuurmans, Lyle H. Ungar, Dean P. Foster
CVPR
2012
IEEE
13 years 1 days ago
Exemplar-based human action pose correction and tagging
The launch of Xbox Kinect has built a very successful computer vision product and made a big impact to the gaming industry; this sheds lights onto a wide variety of potential appl...
Wei Shen, Ke Deng, Xiang Bai, Tommer Leyvand, Bain...
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DAGSTUHL
2007
14 years 11 months ago
Parallel universes to improve the diagnosis of cardiac arrhythmias
arrhythmias (extended abstract) Elisa Fromont, Ren´e Quiniou, Marie-Odile Cordier We are interested in using parallel universes to learn interpretable models that can be subseque...
Élisa Fromont, Rene Quiniou, Marie-Odile Co...
NIPS
2007
14 years 11 months ago
A Risk Minimization Principle for a Class of Parzen Estimators
This paper1 explores the use of a Maximal Average Margin (MAM) optimality principle for the design of learning algorithms. It is shown that the application of this risk minimizati...
Kristiaan Pelckmans, Johan A. K. Suykens, Bart De ...