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» Models for Incomplete and Probabilistic Information
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PVLDB
2008
160views more  PVLDB 2008»
14 years 10 months ago
BayesStore: managing large, uncertain data repositories with probabilistic graphical models
Several real-world applications need to effectively manage and reason about large amounts of data that are inherently uncertain. For instance, pervasive computing applications mus...
Daisy Zhe Wang, Eirinaios Michelakis, Minos N. Gar...
PASTE
2010
ACM
15 years 4 months ago
Learning universal probabilistic models for fault localization
Recently there has been significant interest in employing probabilistic techniques for fault localization. Using dynamic dependence information for multiple passing runs, learnin...
Min Feng, Rajiv Gupta
BIBM
2010
IEEE
151views Bioinformatics» more  BIBM 2010»
14 years 9 months ago
Probabilistic topic modeling for genomic data interpretation
Recently, the concept of a species containing both core and distributed genes, known as the supra- or pangenome theory, has been introduced. In this paper, we aim to develop a new ...
Xin Chen, Xiaohua Hu, Xiajiong Shen, Gail Rosen
ICML
2006
IEEE
15 years 12 months ago
The rate adapting poisson model for information retrieval and object recognition
Probabilistic modelling of text data in the bagof-words representation has been dominated by directed graphical models such as pLSI, LDA, NMF, and discrete PCA. Recently, state of...
Peter V. Gehler, Alex Holub, Max Welling
NAACL
2003
15 years 14 days ago
Sentence Level Discourse Parsing using Syntactic and Lexical Information
We introduce two probabilistic models that can be used to identify elementary discourse units and build sentence-level discourse parse trees. The models use syntactic and lexical ...
Radu Soricut, Daniel Marcu