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» A Value Theory of Meta-Learning Algorithms
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TCOM
2008
67views more  TCOM 2008»
14 years 11 months ago
Robust Frequency Hopping for Interference and Fading Channels
Abstract--A robust frequency-hopping system with noncoherent detection, iterative turbo decoding and demodulation, and channel estimation is presented. The data modulation is the s...
Don J. Torrieri, Shi Cheng, Matthew C. Valenti
CCE
2005
14 years 11 months ago
Phenotype phase plane analysis using interior point methods
Phenotype phase plane analysis is a linear optimization procedure which can be used to study the value of the objective function (a desired phenotype) as two variables (external s...
Steven L. Bell, Bernhard O. Palsson
CEC
2009
IEEE
15 years 6 months ago
Mixed Mutation Strategy Embedded Differential Evolution
Differential evolution (DE) is a powerful yet simple evolutionary algorithm for optimizing real valued optimization problems. Traditional investigations with differential evolution...
Millie Pant, Musrrat Ali, Ajith Abraham
VALUETOOLS
2006
ACM
176views Hardware» more  VALUETOOLS 2006»
15 years 5 months ago
How to solve large scale deterministic games with mean payoff by policy iteration
Min-max functions are dynamic programming operators of zero-sum deterministic games with finite state and action spaces. The problem of computing the linear growth rate of the or...
Vishesh Dhingra, Stephane Gaubert
CORR
2010
Springer
104views Education» more  CORR 2010»
14 years 12 months ago
Empirical learning aided by weak domain knowledge in the form of feature importance
Standard hybrid learners that use domain knowledge require stronger knowledge that is hard and expensive to acquire. However, weaker domain knowledge can benefit from prior knowle...
Ridwan Al Iqbal