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ML
1998
ACM
139views Machine Learning» more  ML 1998»
13 years 7 months ago
The Hierarchical Hidden Markov Model: Analysis and Applications
We introduce, analyze and demonstrate a recursive hierarchical generalization of the widely used hidden Markov models, which we name Hierarchical Hidden Markov Models (HHMM). Our m...
Shai Fine, Yoram Singer, Naftali Tishby
BMCBI
2006
153views more  BMCBI 2006»
13 years 7 months ago
Automatic document classification of biological literature
Background: Document classification is a wide-spread problem with many applications, from organizing search engine snippets to spam filtering. We previously described Textpresso, ...
David Chen, Hans-Michael Müller, Paul W. Ster...
ALT
1994
Springer
13 years 11 months ago
Program Synthesis in the Presence of Infinite Number of Inaccuracies
Most studies modeling inaccurate data in Gold style learning consider cases in which the number of inaccuracies is finite. The present paper argues that this approach is not reaso...
Sanjay Jain
KDD
2003
ACM
233views Data Mining» more  KDD 2003»
14 years 7 months ago
SEWeP: using site semantics and a taxonomy to enhance the Web personalization process
Web personalization is the process of customizing a Web site to the needs of each specific user or set of users, taking advantage of the knowledge acquired through the analysis of...
Magdalini Eirinaki, Michalis Vazirgiannis, Iraklis...
CICLING
2010
Springer
14 years 14 days ago
Extraction of Genic Interactions with the Recursive Logical Theory of an Ontology
We introduce an Information Extraction (IE) system which uses the logical theory of an ontology as a generalisation of the typical information extraction patterns to extract biolog...
Alain-Pierre Manine, Érick Alphonse, Philip...