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JGO
2010
112views more  JGO 2010»
14 years 11 months ago
An information global minimization algorithm using the local improvement technique
In this paper, the global optimization problem with an objective function that is multiextremal that satisfies the Lipschitz condition over a hypercube is considered. An algorithm...
Daniela Lera, Yaroslav D. Sergeyev
87
Voted
JCC
2010
105views more  JCC 2010»
14 years 11 months ago
PAPER - Accelerating parallel evaluations of ROCS
Abstract: Modern graphics processing units (GPUs) are flexibly programmable and have peak computational throughput significantly faster than conventional CPUs. Herein, we describ...
Imran S. Haque, Vijay S. Pande
100
Voted
FOCI
2007
IEEE
15 years 7 months ago
Opposite Transfer Functions and Backpropagation Through Time
— Backpropagation through time is a very popular discrete-time recurrent neural network training algorithm. However, the computational time associated with the learning process t...
Mario Ventresca, Hamid R. Tizhoosh
97
Voted
ROBOCUP
2007
Springer
102views Robotics» more  ROBOCUP 2007»
15 years 6 months ago
Heuristic Reinforcement Learning Applied to RoboCup Simulation Agents
This paper describes the design and implementation of robotic agents for the RoboCup Simulation 2D category that learns using a recently proposed Heuristic Reinforcement Learning a...
Luiz A. Celiberto, Carlos H. C. Ribeiro, Anna Hele...
92
Voted
GRAPHITE
2005
ACM
15 years 6 months ago
A loose and sketchy approach in a mediated reality environment
In this paper, we present sketchy-ar-us, a modified, real-time version of the Loose and Sketchy algorithm used to render graphics in an AR environment. The primary challenge was ...
Michael Haller, Florian Landerl, Mark Billinghurst