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167
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ICMLA
2004
15 years 4 months ago
A new discrete binary particle swarm optimization based on learning automata
: The particle swarm is one of the most powerful methods for solving global optimization problems. This method is an adaptive algorithm based on social-psychological metaphor. A po...
Reza Rastegar, Mohammad Reza Meybodi, Kambiz Badie
99
Voted
ICRA
1995
IEEE
98views Robotics» more  ICRA 1995»
15 years 6 months ago
Experiments in Adaptive Model-Based Force Control
This paper reports preliminary experiments with a provably correct model-based adaptive robot control algorithm for simultaneous position and force trajectory tracking of a robot ...
Louis L. Whitcomb, Suguru Arimoto, Tomohide Naniwa...
112
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IJCV
2008
106views more  IJCV 2008»
15 years 2 months ago
Evaluation of Localized Semantics: Data, Methodology, and Experiments
We present a new data set encoding localized semantics for 1014 images and a methodology for using this kind of data for recognition evaluation. This methodology establishes protoc...
Kobus Barnard, Quanfu Fan, Ranjini Swaminathan, An...
89
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LREC
2008
97views Education» more  LREC 2008»
15 years 4 months ago
Enriching GermaNet with verb-noun relations - a case study of lexical acquisition
In this paper we will focus on the lexical-semantic relations in the German wordnet GermaNet. It has been shown that wordnets suffer from the relatively small number of relations ...
Lothar Lemnitzer, Holger Wunsch, Piklu Gupta
116
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ALT
2008
Springer
15 years 11 months ago
Learning with Continuous Experts Using Drifting Games
We consider the problem of learning to predict as well as the best in a group of experts making continuous predictions. We assume the learning algorithm has prior knowledge of the ...
Indraneel Mukherjee, Robert E. Schapire