Skip to main navigation
Skip to search
Skip to main content
Penn State Home
Help & FAQ
Home
Researchers
Research output
Research units
Equipment
Grants & Projects
Prizes
Activities
Search by expertise, name or affiliation
Data envelopment analysis models for probabilistic classification
Parag C. Pendharkar
School of Business Administration (Harrisburg)
Research output
:
Contribution to journal
›
Article
›
peer-review
5
Scopus citations
Overview
Fingerprint
Fingerprint
Dive into the research topics of 'Data envelopment analysis models for probabilistic classification'. Together they form a unique fingerprint.
Sort by
Weight
Alphabetically
Keyphrases
Data Envelopment Analysis
100%
Data Envelopment Analysis Model
100%
Probabilistic Classification
100%
Classification Methods
50%
Misclassification Cost
50%
Probabilistic Neural Network
50%
Superior Performance
25%
Hybrid Method
25%
Classification Problem
25%
Risk Cost
25%
Neural Network Method
25%
Probability Distribution
25%
Hybrid Data
25%
Distribution Data
25%
Cost-sensitive Support Vector Machine
25%
Half-normal
25%
Mathematics
Data Envelopment Analysis
100%
Analysis Model
100%
Neural Network
40%
Probability Distribution
20%
Bayesian
20%
Minimizes
20%
Classification Problem
20%
Parametric
20%
Asymmetric
20%
Support Vector Machine
20%
Computer Science
Data Envelopment Analysis
100%
Analysis Model
100%
Classification Technique
40%
Support Vector Machine
20%
Classification Problem
20%
Neural Network
20%
Simulated World
20%
Neural Network Approach
20%
Hybrid Approach
20%
Superior Performance
20%