An analytical comparison of some rule-learning programs

An Analytical Comparison of Some Rule-Learning Programs

on the comparison of keyword and semantic-context methods of learning new vocabulary meaning

the rationale behind the present study is that particular learning strategies produce more effective results when applied together. the present study tried to investigate the efficiency of the semantic-context strategy alone with a technique called, keyword method. to clarify the point, the current study seeked to find answer to the following question: are the keyword and semantic-context metho...

A Critical Survey of Rule Learning Programs

Runtime verification of programs using rule-based active system

An Empirical Comparison of Hill-Climbing and Exhaustive Search in Inductive Rule Learning An Empirical Comparison of Hill-Climbing and Exhaustive Search in Inductive Rule Learning

Most commonly used inductive rule learning algorithms employ a hill-climbing search, whereas local pattern discovery algorithms employ exhaustive search. In this paper, we evaluate the spectrum of different search strategies to see whether separate-and-conquer rule learning algorithms are able to gain performance in terms of predictive accuracy or theory size by using more powerful search strat...