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Learning Two-Tiered Descriptions of Flexible Concepts: The POSEIDON System
F. Bergadano,
S. Matwin
, R. S. Michalski, J. Zhang
Engineering
科研成果
:
期刊稿件
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文章
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同行评审
56
引用 （Scopus）
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探究 'Learning Two-Tiered Descriptions of Flexible Concepts: The POSEIDON System' 的科研主题。它们共同构成独一无二的指纹。
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Keyphrases
Two-tiered
100%
Second-tier
100%
Concept Description
100%
POSEIDON System
100%
First-tier
100%
Real-world Problems
50%
Learning Methods
50%
Problem-based Learning
50%
Concept Interpretation
50%
Context Dependence
50%
Rule Learning
50%
Voting Patterns
50%
Poseidon
50%
U.S. Congress
50%
Decision Tree Learning
50%
Domain-independent
50%
Inference Rules
50%
Learning Program
50%
Union Contracts
50%
Base Concept
50%
Quality Criteria
50%
Concept Representation
50%
Property Concepts
50%
Flexible Matching
50%
Exemplar-based Learning
50%
Democrats
50%
Social Sciences
Learning Method
100%
U.S. Congress
100%
World Problems
100%
Decision Tree
100%
Contract Law
100%
Computer Science
Concept Description
100%
Decision Trees
50%
Dependent Domain
50%
Real-World Problem
50%
Inference Rule
50%
Context Dependent
50%
Engineering
Learning Rule
100%
Quality Criterion
100%
Biochemistry, Genetics and Molecular Biology
Decision Trees
100%