Version space learning

Known as: Candidate elimination, Version Space, Version spaces

Version space learning is a logical approach to machine learning, specifically binary classification. Version space learning algorithms search a…

Papers overview

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2015

In Natural Scene Image, Text detection is important tasks which are used for many content based image analysis. A maximally…

2008

A method for molding a tire with an annular reinforcement below the tread surface in which first a tire body is molded and then a…

Review

2006

Review

2006

This paper surveys various areas in information engineering where an explicit handling of positive and negative sides of…

2005

In this paper we prove that the reliability of the classifications of individual instances, provided by a classifier, results in…

2003

In this paper we propose a lattice-based approach intended for extracting semantics from datacubes: borders of version spaces for…

2001

Lazy Bayesian Rules modifies naive Bayesian classification to undo elements of the harmful attribute independence assumption. It…

2000

This paper presents an investigation of the numerical computations of nonweak/strong solutions of linear and nonlinear hyperbolic…

1999

This paper arose out of the observation that the version space algorithm and the ATMS label-update algorithms operate on very…

1992

It is well{recognized that in practical inductive learning systems the search for a concept must be heavily biased. In addition…

1992