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INTERNET
2007
73views more  INTERNET 2007»
15 years 24 days ago
Using Semantic Web Technologies to Analyze Learning Content
that the educator is an abstract role; often many kinds of people are involved, including subject-matter experts, content authors, instructional designers, and teachers. No individ...
Jelena Jovanovic, Dragan Gasevic, Christopher A. B...
APLAS
2010
ACM
15 years 1 months ago
Automatically Inferring Quantified Loop Invariants by Algorithmic Learning from Simple Templates
Abstract. By combining algorithmic learning, decision procedures, predicate abstraction, and simple templates, we present an automated technique for finding quantified loop invaria...
Soonho Kong, Yungbum Jung, Cristina David, Bow-Yaw...
AIR
2006
152views more  AIR 2006»
15 years 29 days ago
Machine learning: a review of classification and combining techniques
Abstract Supervised classification is one of the tasks most frequently carried out by socalled Intelligent Systems. Thus, a large number of techniques have been developed based on ...
Sotiris B. Kotsiantis, Ioannis D. Zaharakis, Panay...
GECCO
2003
Springer
114views Optimization» more  GECCO 2003»
15 years 6 months ago
Learning the Ideal Evaluation Function
Abstract. Designing an adequate fitness function requiressubstantial knowledge of a problem and of features that indicate progress towards a solution. Coevolution takes the human ...
Edwin D. de Jong, Jordan B. Pollack
ICDAR
2003
IEEE
15 years 6 months ago
Unsupervised Feature Selection Using Multi-Objective Genetic Algorithms for Handwritten Word Recognition
In this paper a methodology for feature selection in unsupervised learning is proposed. It makes use of a multiobjective genetic algorithm where the minimization of the number of ...
Marisa E. Morita, Robert Sabourin, Flávio B...