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2007
129views Robotics» more  RSS 2007»
15 years 8 months ago
Spatially-Adaptive Learning Rates for Online Incremental SLAM
— Several recent algorithms have formulated the SLAM problem in terms of non-linear pose graph optimization. These algorithms are attractive because they offer lower computationa...
Edwin Olson, John J. Leonard, Seth J. Teller
GECCO
2000
Springer
141views Optimization» more  GECCO 2000»
15 years 10 months ago
A steady-state evolutionary algorithm for the job shop problem
This paper describes an evolutionary search scheduling algorithm (ESSA) for the job shop scheduling problem (JSSP). If no specific knowledge of the problem is included in the EA t...
Patrick van Bael, Dirk Devogelaere, Marcel Rijckae...
SAB
2010
Springer
135views Optimization» more  SAB 2010»
15 years 5 months ago
An Integrated Neuromimetic Model of the Saccadic Eye Movements for the Psikharpax Robot
Abstract. We propose an integrated model of the saccadic circuitry involved in target selection and motor command. It includes the Superior Colliculus and the Basal Ganglia in both...
Steve N'Guyen, Patrick Pirim, Jean-Arcady Meyer, B...
NIPS
2007
15 years 8 months ago
The Tradeoffs of Large Scale Learning
This contribution develops a theoretical framework that takes into account the effect of approximate optimization on learning algorithms. The analysis shows distinct tradeoffs for...
Léon Bottou, Olivier Bousquet
ICML
2009
IEEE
16 years 7 months ago
Learning structural SVMs with latent variables
We present a large-margin formulation and algorithm for structured output prediction that allows the use of latent variables. Our proposal covers a large range of application prob...
Chun-Nam John Yu, Thorsten Joachims