Probabilistic Confusion Entropy for Evaluating Classifiers

Entropy - Switzerland
doi 10.3390/e15114969
Full Text
Abstract

Available in full text

Date
Authors
Publisher

MDPI AG

Related search

Deconstructing Cross-Entropy for Probabilistic Binary Classifiers

Entropy
Electronic EngineeringInformation SystemsMathematical PhysicsElectricalAstronomyPhysics
2018English

Enhancing Confusion Entropy (CEN) for Binary and Multiclass Classification

PLoS ONE
Multidisciplinary
2019English

Weighted Naïve Bayes Classifiers by Renyi Entropy

Lecture Notes in Computer Science
Computer ScienceTheoretical Computer Science
2013English

Multi-Sensor Background Subtraction by Fusing Multiple Region-Based Probabilistic Classifiers

Pattern Recognition Letters
Signal ProcessingComputer VisionPattern RecognitionArtificial IntelligenceSoftware
2014English

Probabilistic Miss Equations: Evaluating Memory Hierarchy Performance

IEEE Transactions on Computers
HardwareArchitectureMathematicsComputational TheoryTheoretical Computer ScienceSoftware
2003English

Different Classifiers for the Problem of Evaluating Cork Quality in an Industrial System

2006English

A Cross-Entropy Method and Probabilistic Sensitivity Analysis Framework for Calibrating Microscopic Traffic Models

Transportation Research, Part C: Emerging Technologies
TransportationManagement ScienceAutomotive EngineeringStructural EngineeringCivilComputer Science ApplicationsOperations Research
2016English

Figure 4: Proposed Inter-Confusion Training Scheme for Confusion Networks.

English

Searching for Novel Classifiers

Lecture Notes in Computer Science
Computer ScienceTheoretical Computer Science
2013English

Amanote Research

Note-taking for researchers

Follow Amanote

© 2024 Amaplex Software S.P.R.L. All rights reserved.

Privacy PolicyRefund Policy