Introduction to Semi-Supervised Learning

Author:   Xiaojin Zhu ,  Andrew. B Goldberg
Publisher:   Springer International Publishing AG
ISBN:  

9783031004209


Pages:   116
Publication Date:   08 June 2009
Format:   Paperback
Availability:   Manufactured on demand   Availability explained
We will order this item for you from a manufactured on demand supplier.

Our Price $72.42 Quantity:  
Add to Cart

Share |

Introduction to Semi-Supervised Learning


Add your own review!

Overview

Full Product Details

Author:   Xiaojin Zhu ,  Andrew. B Goldberg
Publisher:   Springer International Publishing AG
Imprint:   Springer International Publishing AG
Weight:   0.264kg
ISBN:  

9783031004209


ISBN 10:   3031004205
Pages:   116
Publication Date:   08 June 2009
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   Manufactured on demand   Availability explained
We will order this item for you from a manufactured on demand supplier.
Language:   English

Table of Contents

Introduction to Statistical Machine Learning.- Overview of Semi-Supervised Learning.- Mixture Models and EM.- Co-Training.- Graph-Based Semi-Supervised Learning.- Semi-Supervised Support Vector Machines.- Human Semi-Supervised Learning.- Theory and Outlook.

Reviews

Author Information

Xiaojin Zhu is an assistant professor in the Computer Sciences department at the University of Wisconsin-Madison. His research interests include statistical machine learning and its applications in cognitive psychology, natural language processing, and programming languages. Xiaojin received his Ph.D. from the Language Technologies Institute at Carnegie Mellon University in 2005. He worked on Mandarin speech recognition as a research staff member at IBM China Research Laboratory in 1996-1998. He received M.S. and B.S. in computer science from Shanghai Jiao Tong University in 1996 and 1993, respectively. His other interests include astronomy and geology. Andrew B.Goldberg is a Ph.D. candidate in the Computer Sciences department at the University of Wisconsin-Madison. His research interests lie in statistical machine learning (in particular, semi-supervised learning) and natural language processing. He has served on the program committee for national and international conferences including AAAI, ACL, EMNLP, and NAACL-HLT. Andrew was the recipient of a UW-Madison First-Year Graduate School Fellowship for 2005-2006 and a Yahoo! Key Technical Challenges Grant for 2008-2009. Before his graduate studies, Andrew received a B.A. in computer science from Amherst College, where he graduated magna cum laude with departmental distinction in 2003. He then spent two years writing, editing, and developing teaching materials for introductory computer science and Web programming textbooks at Deitel and Associates. During this time, he contributed to several Deitel books and co-authored the 3rd edition of Internet & World Wide Web How to Program. In 2005, Andrew entered graduate school at UW-Madison and, in 2006 received his M.S. in computer science. In his free time, Andrew enjoys live music, cooking, photography, and travel.

Tab Content 6

Author Website:  

Customer Reviews

Recent Reviews

No review item found!

Add your own review!

Countries Available

All regions
Latest Reading Guide

MRG2025CC

 

Shopping Cart
Your cart is empty
Shopping cart
Mailing List