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Maximum-entropy Markov model

Known as: Conditional Markov model, MEMM, Maximum entropy Markov model 
In machine learning, a maximum-entropy Markov model (MEMM), or conditional Markov model (CMM), is a graphical model for sequence labeling that… 
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Related topics

Related topics

17 relations
Baum–Welch algorithmConditional random fieldDiscriminative modelForward–backward algorithm

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
2016
2016
A novel In-situ Enzymatic Cleaning Method for Reducing Membrane Fouling in Membrane Bioreactors (MBRs)
A novel in-situ enzymatic cleaning method was developed for fouling control in membrane bioreactors (MBRs). It is achieved by… 
2015
2015
An Effective Strategy for Improving Small File Problem in Distributed File System
Distributed file systems, such as HDFS, DFS, etc, are adopted to support cloud storage and are designed for optimizing large… 
2012
2012
SuperSense Tagging with a Maximum Entropy Markov Model
We tackled the task of SuperSense tagging by means of the Tanl Tagger, a generic, flexible and customizable sequence labeler… 
2007
2007
A Maximum Entropy Markov Model for Prediction of Prosodic Phrase Boundaries in Chinese TTS
Hierarchical prosody structure generation is a key component for a speech synthesis system. One major feature of the prosody of… 
2007
2007
The study of a nonstationary maximum entropy Markov model and its application on the pos-tagging task
Sequence labeling is a core task in natural language processing. The maximum entropy Markov model (MEMM) is a powerful tool in… 
2004
2004
The [ GLP & MEMM ] Pricing Model and its Calibration Problems
The [GLP & MEMM] pricing model (= [Geometric Lévy Process & Minimal Entropy Martingale Measure] pricing model) has been… 
2003
2003
Antidiabetic Activity of Methanolic Root Extract of Mukia maderaspatana in Alloxan Induced Diabetic Rats
The present study was done to evaluate the antidiabetic activity of methenolic root extract of Mukia Maderaspatana (MEMM) in… 
2003
2003
Maximum entropy direct models for speech recognition
  • H. KuoYuqing Gao
  • IEEE Workshop on Automatic Speech Recognition and…
  • 2003
  • Corpus ID: 61490367
Traditional statistical models for speech recognition have all been based on a Bayesian framework using generative models such as… 
2003
2003
Elimination of the Measurement System Impact on the Measured Data by Maximum Entropy on the Mean Method
Quality of the diagnostic of some system strongly depends on the precision of the data obtained by the measurement. The error of… 
2001
2001
Application of Maximum Entropy Markov Models on the Protein Secondary Structure Predictions
An application of a new probabilistic modeling framework, Maximum Entropy Markov Model, on the protein secondary structure… 
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