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» A New Way to Introduce Knowledge into Reinforcement Learning
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WWW
2001
ACM
16 years 10 days ago
Intelligent crawling on the World Wide Web with arbitrary predicates
The enormous growth of the world wide web in recent years has made it important to perform resource discovery e ciently. Consequently, several new ideas have been proposed in rece...
Charu C. Aggarwal, Fatima Al-Garawi, Philip S. Yu
INFORMATICALT
2007
171views more  INFORMATICALT 2007»
14 years 11 months ago
E-Learning Documentation of Historical Living Systems with 3-D Modeling Functionality
The innovations and improvements in digital imaging sensors and scanners, computer modeling, haptic equipments and e-learning technology, as well as the availability of many powerf...
Athanasios D. Styliadis
CDC
2008
IEEE
15 years 6 months ago
Shannon meets Bellman: Feature based Markovian models for detection and optimization
— The goal of this paper is to develop modeling techniques for complex systems for the purposes of control, estimation, and inference: (i) A new class of Hidden Markov Models is ...
Sean P. Meyn, George Mathew
HAPTICS
2008
IEEE
15 years 6 months ago
Improving Perception and Understanding of Nanoscale Phenomena Using Haptics and Visual Analogy
Abstract. This paper introduces a new pedagogical tool using haptic feedback and visual analogy, to improve perception and learning of nanoscale phenomena, for people without prior...
Guillaume Millet, Anatole Lécuyer, Jean-Mar...
IDEAL
2005
Springer
15 years 5 months ago
Patterns in Complex Systems Modeling
The design, development, and use of complex systems models raises a unique class of challenges and potential pitfalls, many of which are commonly recurring problems. Over time, res...
Janet Wiles, James Watson