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Advanced Lectures on Machine Learning

Advanced Lectures on Machine Learning PDF Author: Olivier Bousquet
Publisher: Springer
ISBN: 3540286500
Category : Computers
Languages : en
Pages : 246

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Book Description
Machine Learning has become a key enabling technology for many engineering applications, investigating scientific questions and theoretical problems alike. To stimulate discussions and to disseminate new results, a summer school series was started in February 2002, the documentation of which is published as LNAI 2600. This book presents revised lectures of two subsequent summer schools held in 2003 in Canberra, Australia, and in Tübingen, Germany. The tutorial lectures included are devoted to statistical learning theory, unsupervised learning, Bayesian inference, and applications in pattern recognition; they provide in-depth overviews of exciting new developments and contain a large number of references. Graduate students, lecturers, researchers and professionals alike will find this book a useful resource in learning and teaching machine learning.

Advanced Lectures on Machine Learning

Advanced Lectures on Machine Learning PDF Author: Olivier Bousquet
Publisher: Springer
ISBN: 3540286500
Category : Computers
Languages : en
Pages : 246

View

Book Description
Machine Learning has become a key enabling technology for many engineering applications, investigating scientific questions and theoretical problems alike. To stimulate discussions and to disseminate new results, a summer school series was started in February 2002, the documentation of which is published as LNAI 2600. This book presents revised lectures of two subsequent summer schools held in 2003 in Canberra, Australia, and in Tübingen, Germany. The tutorial lectures included are devoted to statistical learning theory, unsupervised learning, Bayesian inference, and applications in pattern recognition; they provide in-depth overviews of exciting new developments and contain a large number of references. Graduate students, lecturers, researchers and professionals alike will find this book a useful resource in learning and teaching machine learning.

Advanced Lectures on Machine Learning

Advanced Lectures on Machine Learning PDF Author: Shahar Mendelson
Publisher: Springer Science & Business Media
ISBN: 3540005293
Category : Computers
Languages : en
Pages : 257

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Book Description
This book presents revised reviewed versions of lectures given during the Machine Learning Summer School held in Canberra, Australia, in February 2002. The lectures address the following key topics in algorithmic learning: statistical learning theory, kernel methods, boosting, reinforcement learning, theory learning, association rule learning, and learning linear classifier systems. Thus, the book is well balanced between classical topics and new approaches in machine learning. Advanced students and lecturers will find this book a coherent in-depth overview of this exciting area, while researchers will use this book as a valuable source of reference.

Advanced Lectures on Machine Learning

Advanced Lectures on Machine Learning PDF Author: Shahar Mendelson
Publisher: Springer
ISBN: 354036434X
Category : Computers
Languages : en
Pages : 266

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Book Description
Machine Learning has become a key enabling technology for many engineering applications and theoretical problems alike. To further discussions and to dis- minate new results, a Summer School was held on February 11–22, 2002 at the Australian National University. The current book contains a collection of the main talks held during those two weeks in February, presented as tutorial chapters on topics such as Boosting, Data Mining, Kernel Methods, Logic, Reinforcement Learning, and Statistical Learning Theory. The papers provide an in-depth overview of these exciting new areas, contain a large set of references, and thereby provide the interested reader with further information to start or to pursue his own research in these directions. Complementary to the book, a recorded video of the presentations during the Summer School can be obtained at http://mlg. anu. edu. au/summer2002 It is our hope that graduate students, lecturers, and researchers alike will ?nd this book useful in learning and teaching Machine Learning, thereby continuing the mission of the Summer School. Canberra, November 2002 Shahar Mendelson Alexander Smola Research School of Information Sciences and Engineering, The Australian National University Thanks and Acknowledgments We gratefully thank all the individuals and organizations responsible for the success of the workshop.

Machine Learning and Its Applications

Machine Learning and Its Applications PDF Author: Georgios Paliouras
Publisher: Springer
ISBN: 3540446737
Category : Computers
Languages : en
Pages : 324

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Book Description
In recent years machine learning has made its way from artificial intelligence into areas of administration, commerce, and industry. Data mining is perhaps the most widely known demonstration of this migration, complemented by less publicized applications of machine learning like adaptive systems in industry, financial prediction, medical diagnosis and the construction of user profiles for Web browsers. This book presents the capabilities of machine learning methods and ideas on how these methods could be used to solve real-world problems. The first ten chapters assess the current state of the art of machine learning, from symbolic concept learning and conceptual clustering to case-based reasoning, neural networks, and genetic algorithms. The second part introduces the reader to innovative applications of ML techniques in fields such as data mining, knowledge discovery, human language technology, user modeling, data analysis, discovery science, agent technology, finance, etc.

Advanced Lectures on Machine Learning

Advanced Lectures on Machine Learning PDF Author: Olivier Bousquet
Publisher:
ISBN: 9783662185483
Category :
Languages : en
Pages : 258

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Book Description


Machine Learning and Its Applications

Machine Learning and Its Applications PDF Author: Georgios Paliouras
Publisher: Springer
ISBN: 9783540424901
Category : Computers
Languages : en
Pages : 324

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Book Description
In recent years machine learning has made its way from artificial intelligence into areas of administration, commerce, and industry. Data mining is perhaps the most widely known demonstration of this migration, complemented by less publicized applications of machine learning like adaptive systems in industry, financial prediction, medical diagnosis and the construction of user profiles for Web browsers. This book presents the capabilities of machine learning methods and ideas on how these methods could be used to solve real-world problems. The first ten chapters assess the current state of the art of machine learning, from symbolic concept learning and conceptual clustering to case-based reasoning, neural networks, and genetic algorithms. The second part introduces the reader to innovative applications of ML techniques in fields such as data mining, knowledge discovery, human language technology, user modeling, data analysis, discovery science, agent technology, finance, etc.

Advanced Lectures on Machine Learning

Advanced Lectures on Machine Learning PDF Author:
Publisher:
ISBN:
Category : Machine learning
Languages : en
Pages :

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Book Description


Advanced Lectures on Machine Learning

Advanced Lectures on Machine Learning PDF Author:
Publisher:
ISBN:
Category : Machine learning
Languages : en
Pages :

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Book Description


Advanced Machine Learning Technologies and Applications

Advanced Machine Learning Technologies and Applications PDF Author: Aboul Ella Hassanien
Publisher: Springer
ISBN: 3642353266
Category : Computers
Languages : en
Pages : 602

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Book Description
This book constitutes the refereed proceedings of the First International Conference on Advanced Machine Learning Technologies and Applications, AMLTA 2012, held in Cairo, Egypt, in December 2012. The 58 full papers presented were carefully reviewed and selected from 99 intial submissions. The papers are organized in topical sections on rough sets and applications, machine learning in pattern recognition and image processing, machine learning in multimedia computing, bioinformatics and cheminformatics, data classification and clustering, cloud computing and recommender systems.

Algorithms in Ambient Intelligence

Algorithms in Ambient Intelligence PDF Author: W. Verhaegh
Publisher: Springer Science & Business Media
ISBN: 9781402017575
Category : Computers
Languages : en
Pages : 341

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Book Description
This book is the outcome of a series of discussions at the Philips Symposium on Intelligent Algorithms, which was held in Eindhoven on December 2002. It contains many exciting and practical examples from this newly developing research field, which can be positioned at the intersection of computer science, discrete mathematics, and artificial intelligence. The examples include machine learning, content management, vision, speech, content augmentation, profiling, music retrieval, feature extraction, audio and video fingerprinting, resource management, multimedia servers, network scheduling, and IC design.