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» Mobile learning: A framework and evaluation
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ICRA
2005
IEEE
140views Robotics» more  ICRA 2005»
14 years 2 months ago
Fast Reinforcement Learning for Vision-guided Mobile Robots
— This paper presents a new reinforcement learning algorithm for accelerating acquisition of new skills by real mobile robots, without requiring simulation. It speeds up Q-learni...
Tomás Martínez-Marín, Tom Duc...
WWW
2007
ACM
14 years 9 months ago
Behavior based web page evaluation
This paper describes our efforts to investigate factors in user's browsing behavior to automatically evaluate web pages that the user shows interest in. To evaluate web pages...
Ganesan Velayathan, Seiji Yamada
APPT
2009
Springer
14 years 3 months ago
Evaluating SPLASH-2 Applications Using MapReduce
MapReduce has been prevalent for running data-parallel applications. By hiding other non-functionality parts such as parallelism, fault tolerance and load balance from programmers,...
Shengkai Zhu, Zhiwei Xiao, Haibo Chen, Rong Chen, ...
ACL
2006
13 years 10 months ago
Learning Transliteration Lexicons from the Web
This paper presents an adaptive learning framework for Phonetic Similarity Modeling (PSM) that supports the automatic construction of transliteration lexicons. The learning algori...
Jin-Shea Kuo, Haizhou Li, Ying-Kuei Yang
IADIS
2004
13 years 10 months ago
Inca: An Intelligent Cognitive Agent-Based Framework for Adaptive and Interactive Learning
This paper presents the design principles, development and implementation of an e-learning framework, called Intelligent Cognitive Agents (InCA). The InCA framework is an ontology...
Liana Razmerita, Thierry Nabeth, Albert A. Angehrn...