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» On Unbiased Linear Approximations
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94
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ICML
2004
IEEE
15 years 11 months ago
Learning associative Markov networks
Markov networks are extensively used to model complex sequential, spatial, and relational interactions in fields as diverse as image processing, natural language analysis, and bio...
Benjamin Taskar, Vassil Chatalbashev, Daphne Kolle...
VLSID
2002
IEEE
91views VLSI» more  VLSID 2002»
15 years 10 months ago
Rational ABCD Modeling of High-Speed Interconnects
This paper introduces a new numerical approximation technique, called the Differential Quadrature Method (DQM), in order to derive the rational ABCD matrix representing the high-s...
Qinwei Xu, Pinaki Mazumder
CDC
2008
IEEE
115views Control Systems» more  CDC 2008»
15 years 4 months ago
Oblivious equilibrium for large-scale stochastic games with unbounded costs
— We study stochastic dynamic games with a large number of players, where players are coupled via their cost functions. A standard solution concept for stochastic games is Markov...
Sachin Adlakha, Ramesh Johari, Gabriel Y. Weintrau...
76
Voted
ICC
2007
IEEE
110views Communications» more  ICC 2007»
15 years 4 months ago
Performance of Interleave Division Multiple Access Based on Minimum Mean Square Error Detection
— Interleave division multiple access (IDMA) recently attracted many research activities because of its excellent performance despite its reasonable low complexity. The low compl...
Katsutoshi Kusume, Guido Dietl, Wolfgang Utschick,...
76
Voted
FSTTCS
2007
Springer
15 years 4 months ago
Order Scheduling Models: Hardness and Algorithms
We consider scheduling problems in which a job consists of components of different types to be processed on m machines. Each machine is capable of processing components of a singl...
Naveen Garg, Amit Kumar, Vinayaka Pandit