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ISMB
1993
14 years 10 months ago
Knowledge-Based Generation of Machine-Learning Experiments: Learning with DNA Crystallography Data
Thoughit has been possible in the past to learn to predict DNAhydration patterns from crystallographic data, there is ambiguity in the choice of training data (both in terms of th...
Dawn M. Cohen, Casimir A. Kulikowski, Helen Berman
INTERSPEECH
2010
14 years 4 months ago
AutoBI - a tool for automatic toBI annotation
This paper describes the AuToBI tool for automatic generation of hypothesized ToBI labels. While research on automatic prosodic annotation has been conducted for many years, AuToB...
Andrew Rosenberg
COLING
2002
14 years 9 months ago
Automatic Text Categorization using the Importance of Sentences
Automatic text categorization is a problem of automatically assigning text documents to predefined categories. In order to classify text documents, we must extract good features f...
Youngjoong Ko, Jinwoo Park, Jungyun Seo
TC
1998
14 years 9 months ago
Abstraction Techniques for Validation Coverage Analysis and Test Generation
ion Techniques for Validation Coverage Analysis and Test Generation Dinos Moundanos, Jacob A. Abraham, Fellow, IEEE, and Yatin V. Hoskote —The enormous state spaces which must be...
Dinos Moundanos, Jacob A. Abraham, Yatin Vasant Ho...
CORR
2010
Springer
110views Education» more  CORR 2010»
14 years 9 months ago
Improving Term Extraction Using Particle Swarm Optimization Techniques
: Problem statement: Term extraction is one of the layers in the ontology development process which has the task to extract all the terms contained in the input document automatica...
Mohammad Syafrullah, Naomie Salim