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» On Using Learning Curves to Evaluate ITS
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ITS
2000
Springer
94views Multimedia» more  ITS 2000»
13 years 11 months ago
DT Tutor: A Decision-Theoretic, Dynamic Approach for Optimal Selection of Tutorial Actions
DT Tutor uses a decision-theoretic approach to select tutorial actions for coached problem solving that are optimal given the tutor's beliefs and objectives. It employs a mode...
R. Charles Murray, Kurt VanLehn
DATAMINE
2006
157views more  DATAMINE 2006»
13 years 8 months ago
Data Clustering with Partial Supervision
Clustering with partial supervision finds its application in situations where data is neither entirely nor accurately labeled. This paper discusses a semisupervised clustering algo...
Abdelhamid Bouchachia, Witold Pedrycz
ACL
2010
13 years 6 months ago
Unsupervised Ontology Induction from Text
Extracting knowledge from unstructured text is a long-standing goal of NLP. Although learning approaches to many of its subtasks have been developed (e.g., parsing, taxonomy induc...
Hoifung Poon, Pedro Domingos
GECCO
2007
Springer
138views Optimization» more  GECCO 2007»
14 years 2 months ago
Bayesian estimation of rule accuracy in UCS
Learning Classifier Systems differ from many other classification techniques, in that new rules are constantly discovered and evaluated. This feature of LCS gives rise to an im...
James A. R. Marshall, Gavin Brown, Tim Kovacs
ECLIPSE
2005
ACM
13 years 10 months ago
IDE Support for test-driven development and automated grading in both Java and C++
Students need to learn testing skills, and using test-driven development on assignments is one way to help students learn. We use a flexible automated grading system called Web-CA...
Anthony Allowatt, Stephen Edwards