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New MILP approach for pattern generation in LAD
Hong Seo Ryoo
*
, Premnath Ayyalasomayajula
*
Corresponding author for this work
Research output
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peer-review
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Keyphrases
Pattern Generation
100%
Logical Analysis
100%
MILP-based Approach
100%
Generative Pattern
75%
Enumeration Techniques
50%
Generation Method
25%
Machine Learning
25%
Learning Database
25%
Learning Techniques
25%
CPU Time
25%
Data Pattern
25%
University of California
25%
Binary Variables
25%
Hidden Patterns
25%
Learning Domains
25%
Medical Database
25%
Degree Pattern
25%
Logic Learning
25%
Boolean Variables
25%
Domain Theory
25%
MILP Solver
25%
Database Theory
25%
Different Types of Data
25%
Computer Science
Data Analysis
100%
Experimental Result
25%
Learning Technique
25%
Binary Variable
25%
Boolean Variable
25%
Domain Theory
25%
Machine Learning
25%
Learning System
25%
CPU time
25%
Chemical Engineering
Learning System
100%