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ICML
2008
IEEE
16 years 7 months ago
Efficiently learning linear-linear exponential family predictive representations of state
Exponential Family PSR (EFPSR) models capture stochastic dynamical systems by representing state as the parameters of an exponential family distribution over a shortterm window of...
David Wingate, Satinder P. Singh
ESA
2009
Springer
109views Algorithms» more  ESA 2009»
16 years 1 months ago
Iterative Rounding for Multi-Objective Optimization Problems
In this paper we show that iterative rounding is a powerful and flexible tool in the design of approximation algorithms for multiobjective optimization problems. We illustrate tha...
Fabrizio Grandoni, R. Ravi, Mohit Singh
ICC
2007
IEEE
117views Communications» more  ICC 2007»
16 years 24 days ago
On the Fade Duration Distribution in Nakagami Fading Channels
− During almost fifty years the Fade Duration Distribution (FDD) of random signals has been an open research topic. However, for Nakagami fading channels, and in general for the ...
A. F. Ramos-Alarcón, Valeri Ya. Kontorovitc...
MICRO
2000
IEEE
68views Hardware» more  MICRO 2000»
15 years 11 months ago
Performance improvement with circuit-level speculation
Current superscalar microprocessors’ performance depends on its frequency and the number of useful instructions that can be processed per cycle (IPC). In this paper we propose a...
Tong Liu, Shih-Lien Lu
GECCO
2008
Springer
170views Optimization» more  GECCO 2008»
15 years 7 months ago
Evolving prediction weights using evolution strategy
The evolution strategy is one of the strongest evolutionary algorithms for optimizing real-value vectors. In this paper, we study how to use it for the evolution of prediction wei...
Trung Hau Tran, Cédric Sanza, Yves Duthen