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» Decision Making Using Probabilistic Inference Methods
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99
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ECIR
2008
Springer
15 years 3 months ago
Here or There
Abstract. Information retrieval systems have traditionally been evaluated over absolute judgments of relevance: each document is judged for relevance on its own, independent of oth...
Ben Carterette, Paul N. Bennett, David Maxwell Chi...
119
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ACSD
2008
IEEE
106views Hardware» more  ACSD 2008»
15 years 4 months ago
Time-bounded model checking of infinite-state continuous-time Markov chains
The design of complex concurrent systems often involves intricate performance and dependability considerations. Continuous-time Markov chains (CTMCs) are widely used models for co...
Lijun Zhang, Holger Hermanns, Ernst Moritz Hahn, B...
ICDE
2009
IEEE
1081views Database» more  ICDE 2009»
17 years 2 months ago
Modeling and Integrating Background Knowledge in Data Anonymization
Recent work has shown the importance of considering the adversary’s background knowledge when reasoning about privacy in data publishing. However, it is very difficult for the d...
Tiancheng Li, Ninghui Li, Jian Zhang
ICPR
2002
IEEE
16 years 3 months ago
Bayesian Networks as Ensemble of Classifiers
Classification of real-world data poses a number of challenging problems. Mismatch between classifier models and true data distributions on one hand and the use of approximate inf...
Ashutosh Garg, Vladimir Pavlovic, Thomas S. Huang
148
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UAI
2003
15 years 3 months ago
Bayesian Hierarchical Mixtures of Experts
The Hierarchical Mixture of Experts (HME) is a well-known tree-structured model for regression and classification, based on soft probabilistic splits of the input space. In its o...
Christopher M. Bishop, Markus Svensén