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
LINEAR CLASSIFIERS BASED ON BINARY DISTRIBUTED REPRESENTATIONS