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GECCO
2008
Springer
196views Optimization» more  GECCO 2008»
13 years 9 months ago
ADANN: automatic design of artificial neural networks
In this work an improvement of an initial approach to design Artificial Neural Networks to forecast Time Series is tackled, and the automatic process to design Artificial Neural N...
Juan Peralta, Germán Gutiérrez, Arac...
AAAI
2000
13 years 9 months ago
Deliberation in Equilibrium: Bargaining in Computationally Complex Problems
We develop a normative theory of interaction-negotiation in particular--among self-interested computationally limited agents where computational actions are game-theoretically tre...
Kate Larson, Tuomas Sandholm
CDC
2008
IEEE
103views Control Systems» more  CDC 2008»
14 years 2 months ago
Symbolic models for nonlinear control systems affected by disturbances
Abstract— Symbolic models are abstract descriptions of continuous systems in which symbols represent aggregates of continuous states. In the last few years there has been a growi...
Giordano Pola, Paulo Tabuada
COCO
2008
Springer
97views Algorithms» more  COCO 2008»
13 years 10 months ago
Generalized Tsirelson Inequalities, Commuting-Operator Provers, and Multi-prover Interactive Proof Systems
A central question in quantum information theory and computational complexity is how powerful nonlocal strategies are in cooperative games with imperfect information, such as mult...
Tsuyoshi Ito, Hirotada Kobayashi, Daniel Preda, Xi...
SODA
2010
ACM
208views Algorithms» more  SODA 2010»
14 years 5 months ago
Correlation Robust Stochastic Optimization
We consider a robust model proposed by Scarf, 1958, for stochastic optimization when only the marginal probabilities of (binary) random variables are given, and the correlation be...
Shipra Agrawal, Yichuan Ding, Amin Saberi, Yinyu Y...