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- Maximum-entropy_Markov_model abstract "In machine learning, a maximum-entropy Markov model (MEMM), or conditional Markov model (CMM), is a graphical model for sequence labeling that combines features of hidden Markov models (HMMs) and maximum entropy (MaxEnt) models. An MEMM is a discriminative model that extends a standard maximum entropy classifier by assuming that the unknown values to be learnt are connected in a Markov chain rather than being conditionally independent of each other. MEMMs find applications in natural language processing, specifically in part-of-speech tagging and information extraction.".
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- Maximum-entropy_Markov_model hasPhotoCollection Maximum-entropy_Markov_model.
- Maximum-entropy_Markov_model subject Category:Markov_models.
- Maximum-entropy_Markov_model subject Category:Statistical_natural_language_processing.
- Maximum-entropy_Markov_model type Assistant109815790.
- Maximum-entropy_Markov_model type CausalAgent100007347.
- Maximum-entropy_Markov_model type LivingThing100004258.
- Maximum-entropy_Markov_model type MarkovModels.
- Maximum-entropy_Markov_model type Model110324560.
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- Maximum-entropy_Markov_model comment "In machine learning, a maximum-entropy Markov model (MEMM), or conditional Markov model (CMM), is a graphical model for sequence labeling that combines features of hidden Markov models (HMMs) and maximum entropy (MaxEnt) models. An MEMM is a discriminative model that extends a standard maximum entropy classifier by assuming that the unknown values to be learnt are connected in a Markov chain rather than being conditionally independent of each other.".
- Maximum-entropy_Markov_model label "Maximum-entropy Markov model".
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- Maximum-entropy_Markov_model sameAs Q6795829.
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- Maximum-entropy_Markov_model sameAs Maximum-entropy_Markov_model.
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- Maximum-entropy_Markov_model isPrimaryTopicOf Maximum-entropy_Markov_model.