Boltzmann machines for speech recognition
Computer Speech and Language
DataGen: a generator of datasets for evaluation of classification algorithms
Pattern Recognition Letters
The Handbook of Brain Theory and Neural Networks
The Handbook of Brain Theory and Neural Networks
Analysis of a Classifier with Random Thresholds
Cybernetics and Systems Analysis
Resolution of Binary Coding of Real-Valued Vectors by Hyperrectangular Receiptive Fields
Cybernetics and Systems Analysis
Analysis of separating surfaces formed by a random subspace classifier
Cybernetics and Systems Analysis
Similarity-Based Retrieval With Structure-Sensitive Sparse Binary Distributed Representations
Computational Intelligence
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Properties of coarse coding obtained by using the random subspace coding (RSC) scheme with random hyperrectangular receptive fields are considered. Characteristics of codes are provided such as the dimensionality of receptive fields, code density at various points of the input space, code overlapping, and others. The results of theoretical analysis are illustrated by experiments with high-dimensional codes.