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The top documents tagged [tutoring systems]
Professor Ana Naidoo and Professor Nthabiseng Ogude
[email protected]
AN INSTITUTIONAL APPROACH TO IMPROVING STUDENT RETENTION AND SUCCESS AT
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Fuzzy logic
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Atcm 2006 Hong Kong
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Computer assisted language learning - Tarea
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02/04/09Danica Damljanović1 Natural Language Interfaces to conceptual models: usability and performance Danica Damljanović
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Http://lasa.epfl.ch A.G. Billard, Autonomous Robots Class Spring 2007 Doctoral School – Robotics Program Autonomous Robots Class Spring 2007 Human-Robot
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TBALL Data Collection Abe Kazemzadeh, Hong You, Markus Iseli, Barbara Jones, Xiaodong Cui, Margaret Heritage, Patti Price, Elaine Anderson, Shrikanth Narayanan,
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Turn-Taking in Spoken Dialogue Systems CS4706 Julia Hirschberg
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CPSC 322, Lecture 32Slide 1 Probability and Time: Hidden Markov Models (HMMs) Computer Science cpsc322, Lecture 32 (Textbook Chpt 6.5) March, 27, 2009
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Fuzzy Logic Mark Strohmaier CSE 335/435. Outline ● What is Fuzzy Logic? ● Some general applications ● How does Fuzzy Logic apply to IDSS ● Real life examples
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Incorporating Tutorial Strategies Into an Intelligent Assistant Jim R. Davies, Neal Lesh, Charles Rich, Candace L. Sidner, Abigail S. Gertner, Jeff Rickel
216 views
Chapter Ten Language and the Computer. 1. CAI, CAL & CALL CAI: computer-assisted instruction CAI: computer-assisted instruction CAL: computer-assisted
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