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IPPS
2007
IEEE
15 years 10 months ago
Optimizing Sorting with Machine Learning Algorithms
The growing complexity of modern processors has made the development of highly efficient code increasingly difficult. Manually developing highly efficient code is usually expen...
Xiaoming Li, María Jesús Garzar&aacu...
GECCO
2007
Springer
191views Optimization» more  GECCO 2007»
15 years 10 months ago
An artificial immune system with partially specified antibodies
Artificial Immune System algorithms use antibodies which fully specify the solution of an optimization, learning, or pattern recognition problem. By being restricted to fully spec...
Ramin Halavati, Saeed Bagheri Shouraki, Mojdeh Jal...
SAGA
2001
Springer
15 years 8 months ago
Evolutionary Search for Smooth Maps in Motor Control Unit Calibration
We study the combinatorial optimization task of choosing the smoothest map from a given family of maps, which is motivated from motor control unit calibration. The problem is of a ...
Jan Poland, Kosmas Knödler, Alexander Mittere...
TNN
2010
155views Management» more  TNN 2010»
14 years 11 months ago
Incorporating the loss function into discriminative clustering of structured outputs
Clustering using the Hilbert Schmidt independence criterion (CLUHSIC) is a recent clustering algorithm that maximizes the dependence between cluster labels and data observations ac...
Wenliang Zhong, Weike Pan, James T. Kwok, Ivor W. ...
ICML
2009
IEEE
16 years 5 months ago
Structure learning of Bayesian networks using constraints
This paper addresses exact learning of Bayesian network structure from data and expert's knowledge based on score functions that are decomposable. First, it describes useful ...
Cassio Polpo de Campos, Zhi Zeng, Qiang Ji