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GECCO
2010
Springer
158views Optimization» more  GECCO 2010»
13 years 10 months ago
Investigating the impact of sequential selection in the (1, 4)-CMA-ES on the noisy BBOB-2010 testbed
Sequential selection, introduced for Evolution Strategies (ESs) with the aim of accelerating their convergence, consists in performing the evaluations of the different offspring...
Anne Auger, Dimo Brockhoff, Nikolaus Hansen
NIPS
2001
13 years 9 months ago
Probabilistic Inference of Hand Motion from Neural Activity in Motor Cortex
Statistical learning and probabilistic inference techniques are used to infer the hand position of a subject from multi-electrode recordings of neural activity in motor cortex. Fi...
Yun Gao, Michael J. Black, Elie Bienenstock, Shy S...
CN
2006
82views more  CN 2006»
13 years 8 months ago
A cost-minimization algorithm for fast location tracking in mobile wireless networks
Location tracking is one of the most important issues in providing real-time applications over wireless networks due to its effect to quality of service (QoS), such as end-to-end ...
Wenye Wang, Guoliang Xue
DCC
2010
IEEE
13 years 6 months ago
Optimization of Overlapped Tiling for Efficient 3D Image Retrieval
Remote visualization of an arbitrary 2-D planar "cut" from a large volumetric dataset with random access has both gained importance and posed significant challenges over...
Zihong Fan, Antonio Ortega
GECCO
2006
Springer
192views Optimization» more  GECCO 2006»
13 years 11 months ago
Optimising cancer chemotherapy using an estimation of distribution algorithm and genetic algorithms
This paper presents a methodology for using heuristic search methods to optimise cancer chemotherapy. Specifically, two evolutionary algorithms - Population Based Incremental Lear...
Andrei Petrovski, Siddhartha Shakya, John A. W. Mc...