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» Generating Object-Z Specifications from Use Cases
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95
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ISMB
1993
15 years 1 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
127
Voted
ICST
2010
IEEE
14 years 10 months ago
Automated Test Data Generation on the Analyses of Feature Models: A Metamorphic Testing Approach
A Feature Model (FM) is a compact representation of all the products of a software product line. The automated extraction of information from FMs is a thriving research topic invo...
Sergio Segura, Robert M. Hierons, David Benavides,...
105
Voted
ICCAD
1996
IEEE
121views Hardware» more  ICCAD 1996»
15 years 4 months ago
Identification of unsettable flip-flops for partial scan and faster ATPG
State justification is a time-consuming operation in test generation for sequential circuits. In this paper, we present a technique to rapidly identify state elements (flip-flops)...
Ismed Hartanto, Vamsi Boppana, W. Kent Fuchs
96
Voted
CORR
2010
Springer
91views Education» more  CORR 2010»
14 years 7 months ago
Switching between Hidden Markov Models using Fixed Share
In prediction with expert advice the goal is to design online prediction algorithms that achieve small regret (additional loss on the whole data) compared to a reference scheme. I...
Wouter M. Koolen, Tim van Erven
122
Voted
UM
2009
Springer
15 years 7 months ago
Evaluating Web Based Instructional Models Using Association Rule Mining
Abstract. In this paper we describe an Integrated Development System for Instructional Model for E-learning (INDESIME) to create and to maintain instructional models using adaptive...
Enrique García, Cristóbal Romero, Se...