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108
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ALT
2004
Springer
15 years 11 months ago
Learning Languages from Positive Data and Negative Counterexamples
In this paper we introduce a paradigm for learning in the limit of potentially infinite languages from all positive data and negative counterexamples provided in response to the ...
Sanjay Jain, Efim B. Kinber
153
Voted
ECTEL
2008
Springer
15 years 4 months ago
Evaluating Spatial Knowledge through Problem-Solving in Virtual Learning Environments
Modeling the cognitive processes of learners is fundamental to build educational software that are autonomous and that can provide highly tailored assistance during learning [3]. F...
Philippe Fournier-Viger, Roger Nkambou, Andr&eacut...
127
Voted
AIED
2005
Springer
15 years 8 months ago
Serious Games for Language Learning: How Much Game, How Much AI?
Modern computer games show potential not just for engaging and entertaining users, but also in promoting learning. Game designers employ a range of techniques to promote long-term ...
W. Lewis Johnson, Hannes Högni Vilhjál...
JCP
2006
74views more  JCP 2006»
15 years 2 months ago
Local Boosting of Decision Stumps for Regression and Classification Problems
Numerous data mining problems involve an investigation of associations between features in heterogeneous datasets, where different prediction models can be more suitable for differ...
Sotiris B. Kotsiantis, Dimitris Kanellopoulos, Pan...
121
Voted
COLT
2010
Springer
15 years 20 days ago
Inferring Descriptive Generalisations of Formal Languages
In the present paper, we introduce a variant of Gold-style learners that is not required to infer precise descriptions of the languages in a class, but that must find descriptive ...
Dominik D. Freydenberger, Daniel Reidenbach