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CORR
2010
Springer
152views Education» more  CORR 2010»
15 years 1 months ago
Neuroevolutionary optimization
Temporal difference methods are theoretically grounded and empirically effective methods for addressing reinforcement learning problems. In most real-world reinforcement learning ...
Eva Volná
CORR
2008
Springer
127views Education» more  CORR 2008»
15 years 1 months ago
MAPEL: Achieving Global Optimality for a Non-convex Wireless Power Control Problem
Achieving weighted throughput maximization (WTM) through power control has been a long standing open problem in interference-limited wireless networks. The complicated coupling bet...
Liping Qian, Ying Jun Zhang, Jianwei Huang
TCAD
2008
172views more  TCAD 2008»
15 years 1 months ago
General Methodology for Soft-Error-Aware Power Optimization Using Gate Sizing
Power consumption has emerged as the premier and most constraining aspect in modern microprocessor and application-specific designs. Gate sizing has been shown to be one of the mos...
Foad Dabiri, Ani Nahapetian, Tammara Massey, Miodr...
IJDMBC
2010
115views more  IJDMBC 2010»
14 years 8 months ago
Near Optimum Power Control and Precoding under Fairness Constraints in Network MIMO Systems
Abstract--We consider the problem of setting the uplink signalto-noise-and-interference (SINR) target and allocating transmit powers for mobile stations in multicell spatial multip...
Gábor Fodor, Mikael Johansson, Pablo Soldat...
BMCBI
2011
14 years 4 months ago
Learning sparse models for a dynamic Bayesian network classifier of protein secondary structure
Background: Protein secondary structure prediction provides insight into protein function and is a valuable preliminary step for predicting the 3D structure of a protein. Dynamic ...
Zafer Aydin, Ajit Singh, Jeff Bilmes, William Staf...