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Active Learning via Predictive Normalized Maximum Likelihood Minimization
Shachar Shayovitz
*
,
Meir Feder
*
Corresponding author for this work
School of Electrical Engineering
Research output
:
Contribution to journal
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Article
›
peer-review
1
Scopus citations
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Dive into the research topics of 'Active Learning via Predictive Normalized Maximum Likelihood Minimization'. Together they form a unique fingerprint.
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Keyphrases
Accuracy Rate
20%
Active Learning
100%
Active Learning Approach
20%
Binary Classification
20%
Classification via Regression
20%
Information Theory
20%
Informative Data
20%
Labeled Training Data
20%
Learning Criteria
60%
Linear Regression
20%
Machine Learning System
20%
Normalized Maximum Likelihood
100%
Regret
20%
Sample Complexity
20%
Specific Task
20%
Training Set Size
20%
Unified Framework
20%
Unified Information
20%
Universal Source Coding
20%
Mathematics
Binary Classification
33%
Data Point
100%
Linear Regression Analysis
33%
Minimizes
33%
Normalised Maximum Likelihood
100%
Real Data
33%
Set Size
33%
Test Set
33%
Training Data
33%
Training Set
33%
Computer Science
Active Learning
100%
Binary Classification
16%
Individual Setting
16%
Learning Approach
16%
Machine Learning
16%
Massive Amount
16%
maximum-likelihood
100%
Training Data
16%
Unified Framework
16%