MAP Estimation
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ID: mapestimation
Related Papers
MAP Estimation of Continuous Density HMM : Theory and Applications
We discuss maximum a posteriori estimation of continuous density hid- den Markov models (CDHMM). The classical MLE reestimation algorithms, namely the forward-backward algorithm and the segmental k-means algo- rithm, are …...
Supervised and unsupervised PCFG adaptation to novel domains
This paper investigates adapting a lexicalized probabilistic context-free grammar (PCFG) to a novel domain, using maximum a posteriori (MAP) estimation. The MAP framework is gen- eral enough to include some …...
Improving Topic Coherence with Latent Feature Word Representations in MAP Estimation for Topic Modeling
Probabilistic topic models are widely used to discover latent topics in document col- lections, while latent feature word vec- tors have been used to obtain high per- formance in many …...