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CIG
2006
IEEE
16 years 18 days ago
Monte-Carlo Go Reinforcement Learning Experiments
Abstract— This paper describes experiments using reinforcement learning techniques to compute pattern urgencies used during simulations performed in a Monte-Carlo Go architecture...
Bruno Bouzy, Guillaume Chaslot
ICMCS
2006
IEEE
136views Multimedia» more  ICMCS 2006»
16 years 17 days ago
Towards the Application of a Handwriting Interface for Mathematics Learning
We believe handwriting input may be able to provide significant advantages over typing, especially in the mathematics learning domain. The use of handwriting may result in decreas...
Lisa Anthony, Jie Yang, Kenneth R. Koedinger
C5
2005
IEEE
16 years 4 days ago
Suggestions for New Features to Support Collaborative Learning in Virtual Worlds
The authors have some experience in building virtual worlds for education purposes, in archaeology and for language learning. However, many mainstream world-building applications ...
Erik Champion, Sachiyo Sekiguchi
CVPR
2005
IEEE
16 years 4 days ago
Jensen-Shannon Boosting Learning for Object Recognition
In this paper, we propose a novel learning method, called Jensen-Shannon Boosting (JSBoost) and demonstrate its application to object recognition. JSBoost incorporates Jensen-Shan...
Xiangsheng Huang, Stan Z. Li, Yangsheng Wang
ITICSE
2004
ACM
15 years 12 months ago
Self-efficacy and mental models in learning to program
Learning to program is a unique experience for each student, and it is not fully understood why one person in an introductory programming course learns to program better and more ...
Vennila Ramalingam, Deborah LaBelle, Susan Wiedenb...