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ISMB
1993
15 years 8 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
CORR
2010
Springer
210views Education» more  CORR 2010»
15 years 6 months ago
Test Case Generation for Object-Oriented Imperative Languages in CLP
Testing is a vital part of the software development process. Test Case Generation (TCG) is the process of automatically generating a collection of test-cases which are applied to ...
Miguel Gómez-Zamalloa, Elvira Albert, Germ&...
TMI
2008
154views more  TMI 2008»
15 years 6 months ago
Brain Anatomical Structure Segmentation by Hybrid Discriminative/Generative Models
In this paper, a hybrid discriminative/generative model for brain anatomical structure segmentation is proposed. The learning aspect of the approach is emphasized. In the discrimin...
Zhuowen Tu, Katherine Narr, Piotr Dollár, I...
VC
2010
165views more  VC 2010»
15 years 5 months ago
Generating animation from natural language texts and semantic analysis for motion search and scheduling
This paper presents an animation system that generates an animation from natural language texts such as movie scripts or stories. It also proposes a framework for a motion database...
Masaki Oshita
COMPSAC
2010
IEEE
15 years 4 months ago
GenRed: A Tool for Generating and Reducing Object-Oriented Test Cases
An important goal of automatic testing techniques, including random testing is to achieve high code coverage with a minimum set of test cases. To meet this goal, random testing res...
Hojun Jaygarl, Kai-Shin Lu, Carl K. Chang