Abstract: A typical syntactic pattern recognition (PR) problem involves comparing a noisy string with every element of a dictionary, X. The problem of classification can be greatly simplified if the dictionary is partitioned into a set of subdictionaries.
ABSTRACT. A typical syntactic pattern recognition (PR) problem involves comparing a noisy string with every element of a dictionary, H. The problem of ...
The power of the scheme for string taxonomy has been demonstrated using random strings and garbled versions of string representations of fragments of ...
A learning automaton is one which learns the optimal action, which is the action that has the minimum penalty probability. Hopefully, the automaton will.
This paper presents a learning-automaton based solution to string taxonomy that utilizes the Object Migrating Automaton the power of which in clustering ...
Carleton University Technical Report TR-234 March 1994 String Taxonomy Using Learning Automata B. John Oommen & Edward V. de St. Croix Abstract A.
Read online or download for free from Z-Library the Book: String taxonomy using learning automata, Author: Oommen, B.J.; De St. Croix, E.V., Year: 1997, ...
For this purpose, a Predictive Clustering Algorithm using Learning Automata (PCALA) is proposed. ... string taxonomy, detection and tracking, distributing ...
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This is a survey on active automata learning. Automata learning, or model learning, aims to construct black-box state diagram models of software and hardware ...
We develop a framework that transforms Boolean string kernels into hardware descriptions using techniques from both learning theory and software verification.