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Dataset Shift in Machine Learning
This work is an overview of recent efforts in the machine learning community to deal with dataset and covariate shift which occurs when test and training inputs and outputs have different distributions.OCLC-licensed vendor bibliographic record.
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- ISBN/ISSN
- 9780262255103
- Collation
- 1 online resource (xv, 229 pages) :illustrations.
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Deep learning
OCLC-licensed vendor bibliographic record.
- Edition
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- ISBN/ISSN
- 9780262354899
- Collation
- 1 online resource (272 pages).
- Series Title
- -
- Call Number
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Data science
A concise introduction to the emerging field of data science, explaining its evolution, relation to machine learning, current uses, data infrastructure issues, and ethical challenges.OCLC-licensed vendor bibliographic record.
- Edition
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- ISBN/ISSN
- 9780262347020
- Collation
- 1 online resource (xi, 264 pages) :illustrations.
- Series Title
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- Call Number
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The deep learning revolution
How deep learning-from Google Translate to driverless cars to personal cognitive assistants-is changing our lives and transforming every sector of the economy. The deep learning revolution has brought us driverless cars, the greatly improved Google Translate, fluent conversations with Siri and Alexa, and enormous profits from automated trading on the New York Stock Exchange. Deep learning netwo…
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- ISBN/ISSN
- 9780262346825
- Collation
- 1 online resource.
- Series Title
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- Call Number
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Principles of neural design
"Neuroscience research has exploded, with more than fifty thousand neuroscientists applying increasingly advanced methods. A mountain of new facts and mechanisms has emerged. And yet a principled framework to organize this knowledge has been missing. In this book, Peter Sterling and Simon Laughlin, two leading neuroscientists, strive to fill this gap, outlining a set of organizing principles to…
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- ISBN/ISSN
- 9780262327312
- Collation
- 1 online resource (xxiii, 542 pages) :illustrations
- Series Title
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Graphical models for machine learning and digital communication
"A Bradford book."Content DescriptionOCLC-licensed vendor bibliographic record.
- Edition
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- ISBN/ISSN
- 0585024413
- Collation
- 1 online resource (xiii, 195 pages) : illustrations
- Series Title
- Adaptive Computation and Machine Learning series
- Call Number
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Visual Cortex and Deep Networks: Learning Invariant Representations
A mathematical framework that describes learning of invariant representations in the ventral stream, offering both theoretical development and applications.The ventral visual stream is believed to underlie object recognition in primates. Over the past fifty years, researchers have developed a series of quantitative models that are increasingly faithful to the biological architecture. Recently, …
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- ISBN/ISSN
- 9780262336710
- Collation
- 1 online resource (xiv, 118 pages) :illustrations.
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- Call Number
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How to build a person : a prolegomenon
"A Bradford book."Pollock describes an exciting theory of rationality and its partial implementation in OSCAR, a computer system whose descendants will literally be persons.Building a person has been an elusive goal in artificial intelligence. This failure, John Pollock argues, is because the problems involved are essentially philosophical; what is needed for the construction of a person is a p…
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- ISBN/ISSN
- 0585336997
- Collation
- 1 online resource (xi, 189 pages) : illustrations
- Series Title
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- Call Number
- 001 POL h
Immunological bioinformatics
"This book offers a description of bioinformatics techniques as they are applied to immunology, including a succinct account of the main biological concepts for students and researchers with backgrounds in mathematics, statistics, and computer science as well as explanations of the new data-driven algorithms in the context of biological data that will be useful of immunologists, biologists, and…
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- ISBN/ISSN
- 9780262323338
- Collation
- 1 online resource (xii, 296 pages, 24 unnumbered pages of plates) : illustrations (some color).
- Series Title
- Computational Molecular Biology
- Call Number
- 001 LUN i
Machine learning in non-stationary environments :introduction to covariate sh…
As the power of computing has grown over the past few decades, the field of machine learning has advanced rapidly in both theory and practice. Machine learning methods are usually based on the assumption that the data generation mechanism does not change over time. Yet real-world applications of machine learning, including image recognition, natural language processing, speech recognition, robo…
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- ISBN/ISSN
- 9780262301220
- Collation
- 1 online resource (xiv, 261 pages) :illustrations.
- Series Title
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- Call Number
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