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CAEPIA
2003
Springer
13 years 10 months ago
Using the Geometrical Distribution of Prototypes for Training Set Condensing
Abstract. In this paper, some new approaches to training set size reduction are presented. These schemes basically consist of defining a small number of prototypes that represent ...
María Teresa Lozano, José Salvador S...
PAA
2008
13 years 4 months ago
Prototype reduction using an artificial immune model
Artificial immune system (AIS)-based pattern classification approach is relatively new in the field of pattern recognition. The study explores the potentiality of this paradigm in ...
Utpal Garain
PREMI
2005
Springer
13 years 10 months ago
Geometric Decision Rules for Instance-Based Learning Problems
In the typical nonparametric approach to classification in instance-based learning and data mining, random data (the training set of patterns) are collected and used to design a d...
Binay K. Bhattacharya, Kaustav Mukherjee, Godfried...
ESCIENCE
2006
IEEE
13 years 8 months ago
Soft Benchmarks-Based Application Performance Prediction Using a Minimum Training Set
Application execution time prediction is of key importance in making decisions about efficient usage of Grid resources. Grid services lack support of a generic application executi...
Farrukh Nadeem, Muhammad Murtaza Yousaf, Radu Prod...
FSKD
2005
Springer
101views Fuzzy Logic» more  FSKD 2005»
13 years 10 months ago
Geometrical Probability Covering Algorithm
Abstract. In this paper, we propose a novel classification algorithm, called geometrical probability covering (GPC) algorithm, to improve classification ability. On the basis of ...
Junping Zhang, Stan Z. Li, Jue Wang