mloss | Projects authored by yun huang.

Projects authored by yun huang.

FAST toolkit for Hidden Markov Models with Features 1.2.1

by josepablog - April 28, 2015, 17:48:23 CET [ ] 10522 views, 2419 downloads, 0 subscriptions

About: FAST is an implementation of Hidden Markov Models with Features. It allows features to modify both emissions and transition probabilities.

Changes:

Initial Announcement on mloss.org.

Authors: Jose Gonzalez Brenes, Yun Huang
License: Gpl
Programming Language: Java

Operating System: Agnostic
Data Formats: Tsv
Tags: Logistic Regression, Expectation Maximization, Maxent, Sequence Modeling