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Hierarchical hidden Markov model

Known as: HHMM 
The hierarchical hidden Markov model (HHMM) is a statistical model derived from the hidden Markov model (HMM). In an HHMM each state is considered to… 
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Related topics

Related topics

6 relations
Hidden Markov modelHierarchical temporal memoryLayered hidden Markov modelMarkov model

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
2018
2018
Activity Recognition Using Hierarchical Hidden Markov Models on Streaming Sensor Data
Activity recognition from sensor data deals with various challenges, such as overlapping activities, activity labeling, and… 
2014
2014
Statistical Estimation in Hierarchical Hidden Markov Model
The mathematical model of a stochastic hierarchical structure is presented and several problems of statistical estimation in case… 
2012
2012
Forward-Backward Activation Algorithm for Hierarchical Hidden Markov Models
Hierarchical Hidden Markov Models (HHMMs) are sophisticated stochastic models that enable us to capture a hierarchical context… 
2011
2011
Polymorphic Malware Detection Using Hierarchical Hidden Markov Model
Binary signatures have been widely used to detect malicious software on the current Internet. However, this approach is unable to… 
2010
2010
Topology Estimation of Hierarchical Hidden Markov Models for Language Models
Estimation of topology of probabilistic models provides us with an important technique for many statistical language processing… 
2006
2006
An intrusion detection method based on hierarchical hidden Markov models
This paper presents an anomaly detection approach to detect intrusions into computer systems. In this approach, a hierarchical… 
2005
2005
Experimental Evaluation of Hierarchical Hidden Markov Models
Building profiles for processes and for interactive users is a important task in intrusion detection. This paper presents the… 
2004
2004
Simplified training algorithm for hierarchical hidden Markov models
This paper considers an extension of the hidden Markov model, called the hierarchical hidden Markov model, and proposes an EM… 
2003
2003
Hierarchical hidden Markov modeling for team-play in multiple agents
  • I. Noda
  • SMC'03 Conference Proceedings. IEEE…
  • 2003
  • Corpus ID: 35224117
When we consider imitation learning of team-play in multi-agent systems, we need to define a suitable building block and its… 
2001
2001
Learning hierarchical observable Markov decision process models for robot navigation
We propose and investigate a general framework for hierarchical modeling of partially observable environments, such as office… 
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