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Bootstrapping Techniques
Jesse Egbert
,
Luke Plonsky
English
Research output
:
Chapter in Book/Report/Conference proceeding
›
Chapter
17
Scopus citations
Overview
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Dive into the research topics of 'Bootstrapping Techniques'. Together they form a unique fingerprint.
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Keyphrases
Bootstrap
100%
Bootstrapping Method
100%
Classification Methods
20%
Corpus Data
60%
Corpus Linguistics
40%
Degree of Homogeneity
20%
Estimation Accuracy
20%
Linguists
20%
Non-normal Distribution
20%
Random Forest
20%
Random Tree
20%
Randomly Sampling
20%
Sample Estimates
40%
Sampling with Replacement
20%
Statistical Model
20%
Statistical Techniques
20%
Syntactic Bootstrapping
20%
Mathematics
Classification Method
50%
Non-Normal Distribution
50%
Observed Value
50%
Sample Estimate
100%
Smaller Sample
50%
Statistical Technique
50%
Biochemistry, Genetics and Molecular Biology
Gaussian Distribution
100%
Random Forest
100%
Agricultural and Biological Sciences
Mathematical Model
100%
Normal Distribution
100%