Machine Learning Algorithms for Problem Solving in Computational Applications: Intelligent Techniques
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Machine Learning Algorithms for Problem Solving in Computational Applications: Intelligent Techniques

Siddhivinayak Kulkarni
Indexed In: SCOPUS View 1 More Indices
Release Date: June, 2012|Copyright: © 2012 |Pages: 464
DOI: 10.4018/978-1-4666-1833-6
ISBN13: 9781466618336|ISBN10: 1466618337|EISBN13: 9781466618343
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Description & Coverage
Description:

Machine learning is an emerging area of computer science that deals with the design and development of new algorithms based on various types of data.

Machine Learning Algorithms for Problem Solving in Computational Applications: Intelligent Techniques addresses the complex realm of machine learning and its applications for solving various real-world problems in a variety of disciplines, such as manufacturing, business, information retrieval, and security. This premier reference source is essential for professors, researchers, and students in artificial intelligence as well as computer science and engineering.

Coverage:

The many academic areas covered in this publication include, but are not limited to:

  • Applications of Machine Learning
  • Artificial Neural Networks
  • Data Mining Algorithms
  • Decision Trees
  • Evolutionary Algorithms
  • Fuzzy Logic
  • Hybrid learning algorithms
  • Machine Learning Applications
  • Statistical Learning Algorithms
  • Support Vector Machines
Reviews & Statements

The 21 papers in this collection develop new algorithms for helping machines learn from previous data and describe the application of machine learning algorithms to image retrieval, computer vision, handwritten character recognition, text analysis, legal databases, and network security. Medical applications are discussed in several papers dealing with radiation therapy, DNA data sets, brain tumor images, and cancerous cervical cells. A contribution from Romania structures web meta-search results according to the specific interests of users, and Brazilian researchers add a beam search to a decision tree induction algorithm.

– Book News Inc. Portland, OR
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Editor/Author Biographies
Dr. Siddhivinayak Kulkarni (Sid) is currently working as a Senior Lecturer at the University of Ballarat. Prior to that, he was working as an Assistant Professor at Nipissing University, Canada. In 2007 and 2008, he organized workshops in Australia on Machine Learning and Algorithms, and attracted many research papers from various countries. Dr. Kulkarni has served on organizing and program committees for more than twenty-five conferences organized in various countries at an International level. He has served an editorial board member and reviewer for many reputed journals. He has published significant papers in reputable peer reviewed journals and presented papers at international conferences. His research interests include machine learning/computational intelligence, as well as pattern recognition and its application in image/video retrieval, biometrics, and health informatics.
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