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Behavior detection using confidence intervals of hidden markov models
R. R. Brooks
, J. M. Schwier
,
C. Griffin
Research output
:
Contribution to journal
›
Article
›
peer-review
11
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Scopus citations
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Dive into the research topics of 'Behavior detection using confidence intervals of hidden markov models'. Together they form a unique fingerprint.
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Computer Science
And-States
100%
Real-World Problem
100%
maximum-likelihood
100%
Data Stream
100%
Characteristic Curve
100%
Pattern Recognition
100%
Optimal Threshold
100%
Engineering
Data Sample
100%
Confidence Interval
100%
Pattern Recognition
50%
Maximum Likelihood
50%
Receiver Operating Characteristic
50%
Operating-Characteristic Curve
50%
Discrete State
50%
Data Stream
50%
Keyphrases
Confidence Interval
100%
Hidden Markov Model
100%
Misbehavior Detection
100%
Number of Data
22%
Markov Model
22%
Real-world Problems
11%
Model Specification
11%
Pattern Recognition
11%
Receiver Operating Characteristic Curve
11%
Complex Behavior
11%
Maximum Likelihood Method
11%
Existing Techniques
11%
Consumer Purchase
11%
Stochastic Component
11%
Optimal Threshold
11%
Deterministic Component
11%
Mathematics
Confidence Interval
100%
Hidden Markov Model
100%
Data Sample
22%
Stochastics
11%
Discrete State
11%
State Transition
11%
Maximum Likelihood
11%
Likelihood Approach
11%
Characteristic Curve
11%
World Problems
11%
Model Description
11%
Real Analysis
11%
Observation Data
11%