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ICDAR
2003
IEEE
15 years 11 months ago
Unsupervised Feature Selection Using Multi-Objective Genetic Algorithms for Handwritten Word Recognition
In this paper a methodology for feature selection in unsupervised learning is proposed. It makes use of a multiobjective genetic algorithm where the minimization of the number of ...
Marisa E. Morita, Robert Sabourin, Flávio B...
EURODAC
1994
IEEE
128views VHDL» more  EURODAC 1994»
15 years 10 months ago
A component selection algorithm for high-performance pipelines
The use of a realistic component library with multiple implementations of operators, results in cost ef cient designs; slow components can then be used on non-critical paths and t...
Smita Bakshi, Daniel D. Gajski
IJON
2006
73views more  IJON 2006»
15 years 6 months ago
Optimal selection of time lags for TDSEP based on genetic algorithm
In this letter, a two-step learning scheme for the optimal selection of time lags is proposed for a typical temporal blind source separation (TBSS), Temporal Decorrelation source ...
Zhan-Li Sun, De-Shuang Huang, Chun-Hou Zheng, Li S...
ECML
2003
Springer
15 years 11 months ago
Combined Optimization of Feature Selection and Algorithm Parameters in Machine Learning of Language
Comparative machine learning experiments have become an important methodology in empirical approaches to natural language processing (i) to investigate which machine learning algor...
Walter Daelemans, Véronique Hoste, Fien De ...
ICALT
2006
IEEE
16 years 12 days ago
A Shortest Learning Path Selection Algorithm in E-learning
Generally speaking, in the e-learning systems, a course is modeled as a graph, where each node represents a knowledge node (KU) and two nodes are connected to form a semantic netw...
Chengling Zhao, Liyong Wan