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ACL
1994
13 years 10 months ago
Word-Sense Disambiguation Using Decomposable Models
Most probabilistic classi ers used for word-sense disambiguationhave either been based on onlyone contextual feature or have used a model that is simply assumed to characterize th...
Rebecca F. Bruce, Janyce Wiebe
ICDE
2008
IEEE
133views Database» more  ICDE 2008»
14 years 10 months ago
Database Support for Probabilistic Attributes and Tuples
Abstract-- The inherent uncertainty of data present in numerous applications such as sensor databases, text annotations, and information retrieval motivate the need to handle impre...
Sarvjeet Singh, Chris Mayfield, Rahul Shah, Sunil ...
KDD
2006
ACM
113views Data Mining» more  KDD 2006»
14 years 9 months ago
A new efficient probabilistic model for mining labeled ordered trees
Mining frequent patterns is a general and important issue in data mining. Complex and unstructured (or semi-structured) datasets have appeared in major data mining applications, i...
Kosuke Hashimoto, Kiyoko F. Aoki-Kinoshita, Nobuhi...
ISMB
2000
13 years 10 months ago
A Probabilistic Learning Approach to Whole-Genome Operon Prediction
We present a computational approach to predicting operons in the genomes of prokaryotic organisms. Our approach uses machine learning methods to induce predictive models for this ...
Mark Craven, David Page, Jude W. Shavlik, Joseph B...
SIGMOD
2011
ACM
249views Database» more  SIGMOD 2011»
12 years 12 months ago
ProApproX: a lightweight approximation query processor over probabilistic trees
We demonstrate a system for querying probabilistic XML documents with simple XPath queries. A user chooses between a variety of query answering techniques, both exact and approxim...
Pierre Senellart, Asma Souihli