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xxAI - Beyond Explainable AI
Statistical machine learning (ML) has triggered a renaissance of artificial intelligence (AI). While the most successful ML models, including Deep Neural Networks (DNN), have developed better predictivity, they have become increasingly complex, at the expense of human interpretability (correlation vs. causality). The field of explainable AI (xAI) has emerged with the goal of creating tools and …
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- 1
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- Series Title
- Lecture Notes in Computer Science
- Call Number
- X, 397
Regularized System Identification
This open access book provides a comprehensive treatment of recent developments in kernel-based identification that are of interest to anyone engaged in learning dynamic systems from data. The reader is led step by step into understanding of a novel paradigm that leverages the power of machine learning without losing sight of the system-theoretical principles of black-box identification. The au…
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- ISBN/ISSN
- 978-3-030-95860-2
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Machine learners :archaeology of a data practice
Machine learning - programming computers to learn from data - has spread across scientific disciplines, media, entertainment, and government. Medical research, autonomous vehicles, credit transaction processing, computer gaming, recommendation systems, finance, surveillance, and robotics use machine learning. Machine learning devices (sometimes understood as scientific models, sometimes as oper…
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- ISBN/ISSN
- 9780262342551
- Collation
- 1 online resource (xvi, 252 pages) :illustrations
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Boosting: Foundations and Algorithms
A remarkably rich theory has evolved around boosting, with connections to a range of topics including statistics, game theory, convex optimization, and information geometry. Boosting algorithms have also enjoyed practical success in such fields as biology, vision, and speech processing. At various times in its history, boosting has been perceived as mysterious, controversial, even paradoxical. …
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- ISBN/ISSN
- 9780262301183
- Collation
- 1 online resource (xv, 526 pages) :illustrations
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- -
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Gaussian processes for machine learning
"Gaussian processes (GPs) provide a principled, practical, probabilistic approach to learning in kernel machines. GPs have received increased attention in the machine-learning community over the past decade, and this book provides a long-needed systematic and unified treatment of theoretical and practical aspects of GPs in machine learning. The treatment is comprehensive and self-contained, tar…
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- ISBN/ISSN
- 9780262256834
- Collation
- 1 online resource (xviii, 248 pages) : illustrations.
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- -
- Call Number
- 510 RAS g
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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- -
- Call Number
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Deep learning
OCLC-licensed vendor bibliographic record.
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- -
- ISBN/ISSN
- 9780262354899
- Collation
- 1 online resource (272 pages).
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- -
- Call Number
- -
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.
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- -
- ISBN/ISSN
- 9780262347020
- Collation
- 1 online resource (xi, 264 pages) :illustrations.
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- -
- Call Number
- -
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.
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- -
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Graphical models for machine learning and digital communication
"A Bradford book."Content DescriptionOCLC-licensed vendor bibliographic record.
- Edition
- -
- 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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