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» An Application Framework for Collaborative Learning
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125
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ICRA
2005
IEEE
140views Robotics» more  ICRA 2005»
15 years 9 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...
134
Voted
AI
2002
Springer
15 years 3 months ago
Learning Bayesian networks from data: An information-theory based approach
This paper provides algorithms that use an information-theoretic analysis to learn Bayesian network structures from data. Based on our three-phase learning framework, we develop e...
Jie Cheng, Russell Greiner, Jonathan Kelly, David ...
142
Voted
P2P
2008
IEEE
15 years 10 months ago
Peer-to-Peer Secure Multi-party Numerical Computation
We propose an efficient framework for enabling secure multi-party numerical computations in a Peer-to-Peer network. This problem arises in a range of applications such as collabo...
Danny Bickson, Danny Dolev, Genia Bezman, Benny Pi...
143
Voted
CSCW
2011
ACM
14 years 7 months ago
Real-time groupware in the browser: testing the performance of web-based networking
Standard web browsers are becoming a common platform for delivering groupware applications, but until recently, the only way to support real-time collaboration was with browser pl...
Carl A. Gutwin, Michael Lippold, T. C. Nicholas Gr...
144
Voted
ICCV
1999
IEEE
16 years 5 months ago
A Dynamic Bayesian Network Approach to Figure Tracking using Learned Dynamic Models
The human figure exhibits complex and rich dynamic behavior that is both nonlinear and time-varying. However, most work on tracking and synthesizing figure motion has employed eit...
Vladimir Pavlovic, James M. Rehg, Tat-Jen Cham, Ke...