Abstract: Binary distributed representations of vector data (numerical, textual, visual) are investigated in classification tasks. A comparative analysis of results for various methods and tasks using artificial and real-world data is given.

Keywords: Distributed representations, binary representations, coarse coding, classifiers, perceptron, SVM, RSC

ACM Classification Keywords: C.1.3 Other Architecture Styles - Neural nets, I.2.6 Learning - Connectionism and neural nets, Induction, Parameter learning

Link:

LINEAR CLASSIFIERS BASED ON BINARY DISTRIBUTED REPRESENTATIONS

Dmitri Rachkovskij

http://www.foibg.com/ijita/vol14/ijita14-3-p12.pdf