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» Naive Bayes models for probability estimation
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AUSAI
2005
Springer
14 years 1 months ago
Ensemble Selection for SuperParent-One-Dependence Estimators
SuperParent-One-Dependence Estimators (SPODEs) loosen Naive-Bayes’ attribute independence assumption by allowing each attribute to depend on a common single attribute (superpare...
Ying Yang, Kevin B. Korb, Kai Ming Ting, Geoffrey ...
ACL
2004
13 years 9 months ago
The Sentimental Factor: Improving Review Classification Via Human-Provided Information
Sentiment classification is the task of labeling a review document according to the polarity of its prevailing opinion (favorable or unfavorable). In approaching this problem, a m...
Philip Beineke, Trevor Hastie, Shivakumar Vaithyan...
UAI
2001
13 years 9 months ago
Linearity Properties of Bayes Nets with Binary Variables
It is "well known" that in linear models: (1) testable constraints on the marginal distribution of observed variables distinguish certain cases in which an unobserved ca...
David Danks, Clark Glymour
ICML
2004
IEEE
14 years 8 months ago
Learning Bayesian network classifiers by maximizing conditional likelihood
Bayesian networks are a powerful probabilistic representation, and their use for classification has received considerable attention. However, they tend to perform poorly when lear...
Daniel Grossman, Pedro Domingos
FGR
2000
IEEE
112views Biometrics» more  FGR 2000»
13 years 12 months ago
A Probabilistic Sensor for the Perception of Activities
This paper presents a new technique for the perception of activities using statistical description of spatio-temporal properties. With this approach, the probability of an activit...
Olivier Chomat, James L. Crowley