Sciweavers

31 search results - page 6 / 7
» Probabilistic author-topic models for information discovery
Sort
View
CAISE
2006
Springer
13 years 8 months ago
An Interactive, Asymmetric and Extensional Method for Matching Conceptual Hierarchies
Our work deals with schema or ontology matching and is driven by the following statements: (1) Most of works only consider intensional description of schemas; (2) They mostly use s...
Jérôme David, Fabrice Guillet, R&eacu...
ICDM
2005
IEEE
177views Data Mining» more  ICDM 2005»
13 years 10 months ago
Average Number of Frequent (Closed) Patterns in Bernouilli and Markovian Databases
In data mining, enumerate the frequent or the closed patterns is often the first difficult task leading to the association rules discovery. The number of these patterns represen...
Loïck Lhote, François Rioult, Arnaud S...
BMCBI
2006
119views more  BMCBI 2006»
13 years 4 months ago
Hidden Markov Model Variants and their Application
Markov statistical methods may make it possible to develop an unsupervised learning process that can automatically identify genomic structure in prokaryotes in a comprehensive way...
Stephen Winters-Hilt
KCAP
2005
ACM
13 years 10 months ago
AutoFeed: an unsupervised learning system for generating webfeeds
The AutoFeed system automatically extracts data from semistructured web sites. Previously, researchers have developed two types of supervised learning approaches for extracting we...
Bora Gazen, Steven Minton
AI
2002
Springer
13 years 4 months ago
Learning Bayesian networks from data: An information-theory based approach
This paper provides algorithms that use an information-theoretic analysis to learn Bayesian network structures from data. Based on our three-phase learning framework, we develop e...
Jie Cheng, Russell Greiner, Jonathan Kelly, David ...