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» On learning algorithm selection for classification
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ICML
1997
IEEE
14 years 12 days ago
Efficient Feature Selection in Conceptual Clustering
Feature selection has proven to be a valuable technique in supervised learning for improving predictive accuracy while reducing the number of attributes considered in a task. We i...
Mark Devaney, Ashwin Ram
ICIP
2009
IEEE
14 years 10 months ago
Color Constancy Using Stage Classification
The aim of color constancy is to remove the effect of the color of the light source. Since color constancy is inherently an ill-posed problem, different assumptions have been prop...
CIKM
2006
Springer
14 years 17 days ago
Coupling feature selection and machine learning methods for navigational query identification
It is important yet hard to identify navigational queries in Web search due to a lack of sufficient information in Web queries, which are typically very short. In this paper we st...
Yumao Lu, Fuchun Peng, Xin Li, Nawaaz Ahmed
3DOR
2010
13 years 3 months ago
Learning the Compositional Structure of Man-Made Objects for 3D Shape Retrieval
While approaches based on local features play a more and more important role for 3D shape retrieval, the problems of feature selection and similarity measurement between sets of l...
Raoul Wessel, Reinhard Klein
ICONIP
2008
13 years 10 months ago
Improvement of Practical Recurrent Learning Method and Application to a Pattern Classification Task
Practical Recurrent Learning (PRL) has been proposed as a simple learning algorithm for recurrent neural networks[1][2]. This algorithm enables learning with practical order O(n2 )...
Mohamad Faizal Bin Samsudin, Katsunari Shibata