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What is Hidden Markov Models

Chapter 17
Handbook of Research on Web Log Analysis
The Hidden Markov model is a stochastic process, where the underlying process or parameters are not observable, but can only be monitored through another stochastic process with observable parameters (Rabiner, 1989).
Published in Chapter:
Topic Analysis and Identification of Queries
Seda Ozmutlu (Uludag University, Turkey), Huseyin C. Ozmutlu (Uludag University, Turkey), and Amanda Spink (Queensland University of Technology, Australia)
Copyright: © 2009 |Pages: 14
DOI: 10.4018/978-1-59904-974-8.ch017
Abstract
This chapter emphasizes topic analysis and identification of search engine user queries. Topic analysis and identification of queries is an important task related to the discipline of information retrieval which is a key element for the development of successful personalized search engines. Topic identification of text is also no simple task, and a problem yet unsolved. The problem is even harder for search engine user queries due to real-time requirements and the limited number of terms in the user queries. The chapter includes a detailed literature review on topic analysis and identification, with an emphasis on search engine user queries, a survey of the analytical methods that have been and can be used, and the challenges and research opportunities related to topic analysis and identification.
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Chapter 22
Statistical Machine Learning Approaches for Sports Video Mining Using Hidden Markov Models
a kind of statistical model in which the system being modeled is assumed to be a Markov process with unknown parameters.
Published in Chapter: Statistical Machine Learning Approaches for Sports Video Mining Using Hidden Markov Models; From: Handbook of Research on Machine Learning Applications and Trends: Algorithms, Methods, and Techniques
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Chapter 392
Machine Learning
Stochastic models capable of performing a sequence of decisions.
Published in Chapter: Machine Learning; From: Encyclopedia of Information Science and Technology, Second Edition
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