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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…
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Related topics
Related topics
7 relations
Binary classification
Formal concept analysis
Inductive logic programming
Rough set
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Broader (1)
Machine learning
Papers overview
Semantic Scholar uses AI to extract papers important to this topic.
2010
2010
Towards the Integration of Programming by Demonstration and Programming by Instruction using Golog
Christian Fritz
,
Y. Gil
Plan, Activity, and Intent Recognition
2010
Corpus ID: 2401684
We present a formal approach for combining programming by demonstration (PbD) with programming by instruction (PbI)--a largely…
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Review
2006
Review
2006
Bipolar Representations in Reasoning, Knowledge Extraction and Decision Processes
D. Dubois
,
H. Prade
International Conference on Rough Sets and…
2006
Corpus ID: 16711682
This paper surveys various areas in information engineering where an explicit handling of positive and negative sides of…
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2005
2005
Reliability yields Information Gain
I. Sprinkhuizen-Kuyper
,
E. Smirnov
,
G. Nalbantov
2005
Corpus ID: 10545553
In this paper we prove that the reliability of the classifications of individual instances, provided by a classifier, results in…
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2003
2003
Extracting semantics from data cubes using cube transversals and closures
Alain Casali
,
R. Cicchetti
,
L. Lakhal
Knowledge Discovery and Data Mining
2003
Corpus ID: 16716932
In this paper we propose a lattice-based approach intended for extracting semantics from datacubes: borders of version spaces for…
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2002
2002
Techniques for Generating Communicating Systems
J. Neighbors
2002
Corpus ID: 13421693
This position paper presents a simple triad model for generating communicating systems. We show a simple architectural and…
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2001
2001
An Innovative Application from the DARPA Knowledge Bases Programs: Rapid Development of a Course-of-Action Critiquer
G. Tecuci
,
M. Boicu
,
Michael Bowman
,
Dorin Marcu
The AI Magazine
2001
Corpus ID: 12686796
This article presents a learning agent shell and methodology for building knowledge bases and agents and their innovative…
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2001
2001
Candidate Elimination Criteria for Lazy Bayesian Rules
Geoffrey I. Webb
Australian Joint Conference on Artificial…
2001
Corpus ID: 35804704
Lazy Bayesian Rules modifies naive Bayesian classification to undo elements of the harmful attribute independence assumption. It…
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2000
2000
Nonweak/Strong Solutions of Linear and Nonlinear Hyperbolic and Parabolic Equations Resulting from a Single Conservation Law
K. Surana
,
M. Bona
International Journal of Computational…
2000
Corpus ID: 12193260
This paper presents an investigation of the numerical computations of nonweak/strong solutions of linear and nonlinear hyperbolic…
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1995
1995
Versioning Models
R. Conradi
System Configuration Management
1995
Corpus ID: 6187599
There is not yet a common agreement on basic versioning models. Tichy [Tic88] distinguishes between sequential revisions and…
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1992
1992
Case{based Meta Learning: Sustained Learning supported by a Dynamically Biased Version Space
J. Baltes
,
B. Macdonald
1992
Corpus ID: 10057491
It is well{recognized that in practical inductive learning systems the search for a concept must be heavily biased. In addition…
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