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ICAISC
2004
Springer
15 years 3 months ago
Comparison of Instances Seletion Algorithms I. Algorithms Survey
Abstract. Several methods were proposed to reduce the number of instances (vectors) in the learning set. Some of them extract only bad vectors while others try to remove as many in...
Norbert Jankowski, Marek Grochowski
ECIS
2000
14 years 11 months ago
Information Filtering and Automatic Keyword Identification by Artificial Neural Networks
Information filtering (IF) systems usually filter data items by correlating a vector of terms (keywords) that represent the user profile with similar vectors of terms that represe...
Zvi Boger, Tsvi Kuflik, Bracha Shapira, Peretz Sho...
CONTEXT
2001
Springer
15 years 2 months ago
A Connectionist-Symbolic Approach to Modeling Agent Behavior: Neural Networks Grouped by Contexts
A recent report by the National Research Council (NRC) declares neural networks “hold the most promise for providing powerful learning models”. While some researchers have expe...
Amy E. Henninger, Avelino J. Gonzalez, Michael Geo...
ICDAR
2003
IEEE
15 years 3 months ago
Mirror Image Learning for Autoassociative Neural Networks
This paper studies on the mirror image learning algorithm for the autoassociative neural networks and evaluates the performance by handwritten numeral recognition test. Each of th...
Shusaku Shimizu, Wataru Ohyama, Tetsushi Wakabayas...
JMLR
2010
115views more  JMLR 2010»
14 years 4 months ago
Fast and Scalable Local Kernel Machines
A computationally efficient approach to local learning with kernel methods is presented. The Fast Local Kernel Support Vector Machine (FaLK-SVM) trains a set of local SVMs on redu...
Nicola Segata, Enrico Blanzieri