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Found 173 from your keywords: subject="Algorithm"
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cover
Learning with kernels :support vector machines, regularization, optimization,…
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Sch?olkopf, Bernhard.Smola, Alexander J.

In the 1990s, a new type of learning algorithm was developed, based on results from statistical learning theory: the Support Vector Machine (SVM). This gave rise to a new class of theoretically elegant learning machines that use a central concept of SVMs -- -kernels--for a number of learning tasks. Kernel machines provide a modular framework that can be adapted to different tasks and domains by…

Edition
-
ISBN/ISSN
9780262256933
Collation
1 online resource (xviii, 626 pages) :illustrations.
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-
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-
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Learning kernel classifiers :theory and algorithms
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Herbrich, Ralf.

Linear classifiers in kernel spaces have emerged as a major topic within the field of machine learning. The kernel technique takes the linear classifier--a limited, but well-established and comprehensively studied model--and extends its applicability to a wide range of nonlinear pattern-recognition tasks such as natural language processing, machine vision, and biological sequence analysis. This…

Edition
-
ISBN/ISSN
9780262256339
Collation
1 online resource (xx, 364 pages) :illustrations.
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-
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Learning in embedded systems
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Kaelbling, Leslie Pack.

"A Bradford book."It is the first detailed exploration of the problem of learning action strategies in the context of designing embedded systems that adapt their behavior to a complex, changing environment; such systems include mobile robots, factory process controllers, and long-term software databases.Learning to perform complex action strategies is an important problem in the fields of artif…

Edition
-
ISBN/ISSN
0262288508
Collation
1 online resource (xi, 176 pages) :illustrations
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-
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-
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cover
The rapid evaluation of potential fields in particle systems
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Greengard, Leslie.

"Leslie Greengard received his doctorate from Yale University where he is a NSF Postdoctoral Fellow in the Computer Science Department. The Rapid Evaluation of Potential Fields in Particle Systems is a 1987 ACM Distinguished Dissertation.""The Rapid Evaluation of Potential Fields in Particle Systems presents a group of algorithms for the computation of the potential and force fields in large-sc…

Edition
-
ISBN/ISSN
9780262256254
Collation
1 online resource (iv, 90 pages) :illustrations.
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-
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cover
Self-stabilization
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Dolev, Shlomi.

OCLC-licensed vendor bibliographic record.

Edition
-
ISBN/ISSN
058523986X
Collation
1 online resource (197 pages) :illustrations
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-
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-
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cover
WALCOM: Algorithms and Computation 9th International Workshop, WALCOM 2015, …
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RAHMAN, M. SohelTOMITA, Etsuji

This book constitutes the thoroughly refereed conference proceedings of the 9th International Workshop on Algorithms and Computation, WALCOM 2015, held in Dhaka, Bangladesh, in February 2015. The 26 revised full papers presented together with 3 invited talks were carefully reviewed and selected from 85 submissions. The papers are organized in topical sections on approximation algorithms, data s…

Edition
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ISBN/ISSN
978-3-319-15612-5
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-
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-
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A Comparison Study of PAPR Reduction in OFDM Systems Based on Swarm Intellige…
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Amhaimar, Lahcen

Optimization algorithms have been one of the most important research topics in Computational Intelligence Community. They are widely utilized mathematical functions that solve optimization problems in a variety of purposes via the maximization or minimization of a function. The swarm intelligence (SI) optimization algorithms are an active branch of …

Edition
-
ISBN/ISSN
978-1-83969-086-0
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-
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-
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-
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Particle Swarm Optimization of Convolutional Neural Networks for Human Activi…
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Bozic, Bojan

The increased usage of smartphones for daily activities has created a huge demand and opportunities in the field of ubiquitous computing to provide personalized services and support to the user. In this aspect, Sensor-Based Human Activity Recognition (HAR) has seen an immense growth in the last decade playing a major role in the field of pervasive c…

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ISBN/ISSN
978-1-83968-665-8
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-
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cover
Sublinear Computation Paradigm: Algorithmic Revolution in the Big Data Era
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Katoh, Naoki

This open access book gives an overview of cutting-edge work on a new paradigm called the “sublinear computation paradigm,” which was proposed in the large multiyear academic research project “Foundations of Innovative Algorithms for Big Data.” That project ran from October 2014 to March 2020, in Japan. To handle the unprecedented explosion of big data sets in research, industry, and ot…

Edition
Ed. 1
ISBN/ISSN
9789811640957, 9789811640957
Collation
410
Series Title
-
Call Number
511.8 SUB s
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cover
The Constitution of Algorithms: Ground-Truthing, Programming, Formulating
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JATON, Florian

A laboratory study that investigates how algorithms come into existence. Algorithms—often associated with the terms big data, machine learning, or artificial intelligence—underlie the technologies we use every day, and disputes over the consequences, actual or potential, of new algorithms arise regularly. In this book, Florian Jaton offers a new way to study computerized methods, providi…

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-
ISBN/ISSN
9780262363235
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-
Series Title
-
Call Number
005.1
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