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ICTAI
2008
IEEE
14 years 4 months ago
The Performance of Approximating Ordinary Differential Equations by Neural Nets
—The dynamics of many systems are described by ordinary differential equations (ODE). Solving ODEs with standard methods (i.e. numerical integration) needs a high amount of compu...
Josef Fojdl, Rüdiger W. Brause
SIGECOM
2010
ACM
173views ECommerce» more  SIGECOM 2010»
13 years 10 months ago
Approximating pure nash equilibrium in cut, party affiliation, and satisfiability games
Cut games and party affiliation games are well-known classes of potential games. Schaffer and Yannakakis showed that computing pure Nash equilibrium in these games is PLScomplete....
Anand Bhalgat, Tanmoy Chakraborty, Sanjeev Khanna
TROB
2010
129views more  TROB 2010»
13 years 8 months ago
A Probabilistic Particle-Control Approximation of Chance-Constrained Stochastic Predictive Control
—Robotic systems need to be able to plan control actions that are robust to the inherent uncertainty in the real world. This uncertainty arises due to uncertain state estimation,...
Lars Blackmore, Masahiro Ono, Askar Bektassov, Bri...
MFCS
2007
Springer
14 years 4 months ago
Well Supported Approximate Equilibria in Bimatrix Games: A Graph Theoretic Approach
Abstract. We study the existence and tractability of a notion of approximate equilibria in bimatrix games, called well supported approximate Nash Equilibria (SuppNE in short). We p...
Spyros C. Kontogiannis, Paul G. Spirakis
ECCV
2010
Springer
14 years 3 months ago
Fast Approximate Nearest Neighbor Methods for Non-Euclidean Manifolds with Applications to Human Activity Analysis in Videos
Approximate Nearest Neighbor (ANN) methods such as Locality Sensitive Hashing, Semantic Hashing, and Spectral Hashing, provide computationally ecient procedures for nding objects...
Rizwan Chaudhry, Yuri Ivanov