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ICML
2005
IEEE
14 years 8 months ago
Naive Bayes models for probability estimation
Naive Bayes models have been widely used for clustering and classification. However, they are seldom used for general probabilistic learning and inference (i.e., for estimating an...
Daniel Lowd, Pedro Domingos
ICMLA
2010
13 years 5 months ago
A Probabilistic Graphical Model of Quantum Systems
Quantum systems are promising candidates of future computing and information processing devices. In a large system, information about the quantum states and processes may be incomp...
Chen-Hsiang Yeang
SAT
2010
Springer
136views Hardware» more  SAT 2010»
13 years 11 months ago
A Non-prenex, Non-clausal QBF Solver with Game-State Learning
Abstract. We describe a DPLL-based solver for the problem of quantified boolean formulas (QBF) in non-prenex, non-CNF form. We make two contributions. First, we reformulate clause...
William Klieber, Samir Sapra, Sicun Gao, Edmund M....
IJCAI
1989
13 years 8 months ago
An Empirical Comparison of Pattern Recognition, Neural Nets, and Machine Learning Classification Methods
Classification methods from statistical pattern recognition, neural nets, and machine learning were applied to four real-world data sets. Each of these data sets has been previous...
Sholom M. Weiss, Ioannis Kapouleas
ICML
2010
IEEE
13 years 8 months ago
A New Analysis of Co-Training
In this paper, we present a new analysis on co-training, a representative paradigm of disagreement-based semi-supervised learning methods. In our analysis the co-training process ...
Wei Wang, Zhi-Hua Zhou