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GECCO
2006
Springer
132views Optimization» more  GECCO 2006»
14 years 1 months ago
A neural evolutionary approach to financial modeling
This paper presents an approach to the joint optimization of neural network structure and weights which can take advantage of backpropagation as a specialized decoder. The approac...
Antonia Azzini, Andrea Tettamanzi
TSMC
2008
147views more  TSMC 2008»
13 years 10 months ago
A New Approach for Solving Nonlinear Equations Systems
This paper proposes a new perspective for solving systems of complex nonlinear equations by simply viewing them as a multiobjective optimization problem. Every equation in the syst...
Crina Grosan, Ajith Abraham
MICRO
2000
IEEE
107views Hardware» more  MICRO 2000»
13 years 10 months ago
An integrated approach to accelerate data and predicate computations in hyperblocks
To exploit increased instruction-level parallelism available in modern processors, we describe the formation and optimization of tracenets, an integrated approach to reducing the ...
Alexandre E. Eichenberger, Waleed Meleis, Suman Ma...
DA
2010
139views more  DA 2010»
13 years 7 months ago
Eliciting Patients' Revealed Preferences: An Inverse Markov Decision Process Approach
. Direct approaches, which involve asking patients various abstract questions, have significant drawbacks. We propose a new approach that infers patient preferences based on observ...
Zeynep Erkin, Matthew D. Bailey, Lisa M. Maillart,...
ALDT
2009
Springer
207views Algorithms» more  ALDT 2009»
14 years 4 months ago
Anytime Self-play Learning to Satisfy Functional Optimality Criteria
We present an anytime multiagent learning approach to satisfy any given optimality criterion in repeated game self-play. Our approach is opposed to classical learning approaches fo...
Andriy Burkov, Brahim Chaib-draa