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SIGECOM
2009
ACM
114views ECommerce» more  SIGECOM 2009»
14 years 5 months ago
Policy teaching through reward function learning
Policy teaching considers a Markov Decision Process setting in which an interested party aims to influence an agent’s decisions by providing limited incentives. In this paper, ...
Haoqi Zhang, David C. Parkes, Yiling Chen
ESCIENCE
2006
IEEE
14 years 4 months ago
Identifying Tools to Support Schools' Collaborative Teaching and Learning
Integration of e-Science and Grid technologies into curriculum teaching is currently an ambitious aim for teachers and school infrastructures to organise. However, it can expose c...
Hilary Smith, Joshua Underwood, Geraldine Fitzpatr...
ICPP
2006
IEEE
14 years 4 months ago
Performance Modeling based on Multidimensional Surface Learning for Performance Predictions of Parallel Applications in Non-Dedi
Modeling the performance behavior of parallel applications to predict the execution times of the applications for larger problem sizes and number of processors has been an active ...
Jay Yagnik, H. A. Sanjay, Sathish S. Vadhiyar
ACSAC
2005
IEEE
14 years 4 months ago
Lessons Learned: A Security Analysis of the Internet Chess Club
The Internet Chess Club (ICC) is a popular online chess server with more than 30,000 members worldwide including various celebrities and the best chess players in the world. Altho...
John Black, Martin Cochran, Martin Ryan Gardner
MM
2005
ACM
139views Multimedia» more  MM 2005»
14 years 4 months ago
Multimodal affect recognition in learning environments
We propose a multi-sensor affect recognition system and evaluate it on the challenging task of classifying interest (or disinterest) in children trying to solve an educational pu...
Ashish Kapoor, Rosalind W. Picard