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» A new theoretic framework for cross-layer optimization
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AI
2002
Springer
15 years 4 months ago
Multiagent learning using a variable learning rate
Learning to act in a multiagent environment is a difficult problem since the normal definition of an optimal policy no longer applies. The optimal policy at any moment depends on ...
Michael H. Bowling, Manuela M. Veloso
CSO
2009
IEEE
15 years 11 months ago
Competitive Analysis of Online Price Discount Replacement Problem
When a paid price discount activity occurs, the decisionmaker must decide whether or not and when to pay the additional fees for preferential price in an online fashion. This prob...
Lili Ding, Xinmin Liu, Wanglin Kang
ECML
2006
Springer
15 years 8 months ago
PAC-Learning of Markov Models with Hidden State
The standard approach for learning Markov Models with Hidden State uses the Expectation-Maximization framework. While this approach had a significant impact on several practical ap...
Ricard Gavaldà, Philipp W. Keller, Joelle P...
CAD
2012
Springer
14 years 10 hour ago
Flexible shape control for automatic resizing of apparel products
We provide a flexible shape control technique in this paper for the automatic resizing of apparel products. The automatic resizing function has become an essential part of the 3D...
Yuwei Meng, Charlie C. L. Wang, Xiaogang Jin
ICALP
2005
Springer
15 years 9 months ago
Computational Bounds on Hierarchical Data Processing with Applications to Information Security
Motivated by the study of algorithmic problems in the domain of information security, in this paper, we study the complexity of a new class of computations over a collection of va...
Roberto Tamassia, Nikos Triandopoulos