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GECCO
2010
Springer
157views Optimization» more  GECCO 2010»
15 years 1 months ago
Speeding up the evaluation of evolutionary learning systems using GPGPUs
In this paper we introduce a method for computing fitness in evolutionary learning systems based on NVIDIA’s massive parallel technology using the CUDA library. Both the match ...
María A. Franco, Natalio Krasnogor, Jaume B...
RECSYS
2009
ACM
15 years 4 months ago
Preference elicitation with subjective features
Utility or preference elicitation is a critical component in many recommender and decision support systems. However, most frameworks for elicitation assume a predefined set of fe...
Craig Boutilier, Kevin Regan, Paolo Viappiani
EPIA
2009
Springer
15 years 4 months ago
An ILP System for Learning Head Output Connected Predicates
Inductive Logic Programming (ILP) [1] systems are general purpose learners that have had significant success on solving a number of relational problems, particularly from the biol...
José Carlos Almeida Santos, Alireza Tamaddo...
CIKM
2008
Springer
14 years 12 months ago
Metric-based ontology learning
Ontology learning is an important task in Artificial Intelligence, Semantic Web and Text Mining. This paper presents a novel framework for, and solutions to, three practical probl...
Hui Yang, Jamie Callan
AIED
2005
Springer
15 years 3 months ago
What Do You Mean by to Help Learning of Metacognition?
Several computer-based learning support systems and methods help learners to master metacognitive activity. Which systems and methods are designed to eliminate which difficulties a...
Michiko Kayashima, Akiko Inaba, Riichiro Mizoguchi