£67.99
The rapid advancement in the theoretical understanding of statistical and machine learning methods for semisupervised learning has made it difficult for nonspecialists to keep up to date in the field.
Providing a broad, accessible treatment of the theory as well as linguistic applications, Semisupervised Learning for Computational Linguistics offers
Semi-Supervised and Unsupervised Machine Learning
Mixture Models and Applications
Hidden Markov Models and Applications
Supervised and Unsupervised Learning for Data Science
New Methods In Language Processing
Computational Linguistics: Concepts, Methodologies, Tools, and Applications
Introduction to Statistical Machine Learning
Handbook of Computational Linguistics and Natural Language Processing
Text-based intelligent Systems
Computational Analysis and Understanding of Natural Languages: Principles, Methods and Applications
Probabilistic Topic Models
Natural Language Processing