machine learning Books
We've found 24 books tagged 'machine learning' relevant to the field of humanlike conversational artificial intelligence.
| Subtitle: |
Structures and Strategies for Complex Problem Solving |
| Publisher: |
Addison-Wesley Professional
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| Year: |
2008 |
| Order: |
http://www.amazon.com/Artifici... |
Summary: This accessible, comprehensive book captures the essence of artificial intelligence - solving the complex problems that arise wherever computer technology is applied. With his signature enthusiasm, George Luger demonstrates numerous techniques and strategies for addressing the many challenges facing computer scientists today. Diverse topics on...
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10119
by Haralampos Karanikas |
Summary: In most companies and organisations valuable time and effort is wasted in ineffective searches through multiple information sources including web sites and other conventional sources. This problem of information overload is further exacerbated due to the unstructured format of the majority of the data. Text...
Summary: Clustering is an important tool for many applications such as document clustering, gene expression analysis, etc. In many such cases, the data can be represented as a set of instances expressed by their attributes, in the form of a matrix. Clustering instances, such as documents,...
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10054
by Christopher D. Manning, Prabhakar Raghavan and Hinrich Schütze |
Summary: Class-tested and coherent, this groundbreaking new textbook teaches web-era information retrieval, including web search and the related areas of text classification and text clustering from basic concepts. Written from a computer science perspective by three leading experts in the field, it gives an up-to-date treatment...
| Publisher: |
Springer
|
| Year: |
2011 |
| Order: |
http://www.amazon.com/gp/produ... |
Summary: Due to the fast growth of the Web and the difficulties in finding desired information, efficient and effective information retrieval systems have become more important than ever, and the search engine has become an essential tool for many people.
The ranker, a central component in every...
Summary: Learning to rank refers to machine learning techniques for training the model in a ranking task. Learning to rank is useful for many applications in information retrieval, natural language processing, and data mining. Intensive studies have been conducted on the problem recently and significant progress...
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10036
by Cyril Goutte, Nicola Cancedda, Marc Dymetman and George Foster |
| Publisher: |
The MIT Press
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| Year: |
2008 |
| Order: |
http://www.amazon.com/gp/produ... |
Summary: The Internet gives us access to a wealth of information in languages we don’t understand. The investigation of automated or semi-automated approaches to translation has become a thriving research field with enormous commercial potential. This volume investigates how Machine Learning techniques can improve Statistical Machine...
| Subtitle: |
Using parsing variations and semantic classes |
| Publisher: |
VDM Verlag Dr. Müller
|
| Year: |
2010 |
| Order: |
http://www.amazon.com/gp/produ... |
Summary: Correctly identifying semantic entities and successfully disambiguating the relations between them and their predicates is an important and necessary step for successful natural language processing applications, such as text summarization, question answering, and machine translation. Researchers have studied this problem, semantic role labeling (SRL), as...
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10013
by Martha Palmer, Daniel Gildea and Nianwen Xue |
Summary: This book is aimed at providing an overview of several aspects of semantic role labeling. Chapter 1 begins with linguistic background on the definition of semantic roles and the controversies surrounding them. Chapter 2 describes how the theories have led to structured lexicons such as...
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9728
by Sholom M. Weiss, Nitin Indurkhya and Tong Zhang |
| Publisher: |
Springer
|
| Year: |
2010 |
| Order: |
http://www.amazon.com/Fundamen... |
Summary: One consequence of the pervasive use of computers is that most documents originate in digital form. Widespread use of the Internet makes them readily available. Text mining – the process of analyzing unstructured natural-language text – is concerned with how to extract information from these...
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