Machine Learning

A Constraint-Based Approach

Nonfiction, Computers, Advanced Computing, Artificial Intelligence, Computer Science, General Computing
Cover of the book Machine Learning by Marco Gori, Ph.D., Elsevier Science
View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart
Author: Marco Gori, Ph.D. ISBN: 9780081006702
Publisher: Elsevier Science Publication: November 20, 2017
Imprint: Morgan Kaufmann Language: English
Author: Marco Gori, Ph.D.
ISBN: 9780081006702
Publisher: Elsevier Science
Publication: November 20, 2017
Imprint: Morgan Kaufmann
Language: English

Machine Learning: A Constraint-Based Approach provides readers with a refreshing look at the basic models and algorithms of machine learning, with an emphasis on current topics of interest that includes neural networks and kernel machines.

The book presents the information in a truly unified manner that is based on the notion of learning from environmental constraints. While regarding symbolic knowledge bases as a collection of constraints, the book draws a path towards a deep integration with machine learning that relies on the idea of adopting multivalued logic formalisms, like in fuzzy systems. A special attention is reserved to deep learning, which nicely fits the constrained- based approach followed in this book.

This book presents a simpler unified notion of regularization, which is strictly connected with the parsimony principle, and includes many solved exercises that are classified according to the Donald Knuth ranking of difficulty, which essentially consists of a mix of warm-up exercises that lead to deeper research problems. A software simulator is also included.

  • Presents fundamental machine learning concepts, such as neural networks and kernel machines in a unified manner
  • Provides in-depth coverage of unsupervised and semi-supervised learning
  • Includes a software simulator for kernel machines and learning from constraints that also includes exercises to facilitate learning
  • Contains 250 solved examples and exercises chosen particularly for their progression of difficulty from simple to complex
View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

Machine Learning: A Constraint-Based Approach provides readers with a refreshing look at the basic models and algorithms of machine learning, with an emphasis on current topics of interest that includes neural networks and kernel machines.

The book presents the information in a truly unified manner that is based on the notion of learning from environmental constraints. While regarding symbolic knowledge bases as a collection of constraints, the book draws a path towards a deep integration with machine learning that relies on the idea of adopting multivalued logic formalisms, like in fuzzy systems. A special attention is reserved to deep learning, which nicely fits the constrained- based approach followed in this book.

This book presents a simpler unified notion of regularization, which is strictly connected with the parsimony principle, and includes many solved exercises that are classified according to the Donald Knuth ranking of difficulty, which essentially consists of a mix of warm-up exercises that lead to deeper research problems. A software simulator is also included.

More books from Elsevier Science

Cover of the book Smart, Resilient and Transition Cities by Marco Gori, Ph.D.
Cover of the book Autoantibodies by Marco Gori, Ph.D.
Cover of the book Gene Therapy of the Central Nervous System: From Bench to Bedside by Marco Gori, Ph.D.
Cover of the book Perspectives for Agronomy by Marco Gori, Ph.D.
Cover of the book Stochastic Local Search by Marco Gori, Ph.D.
Cover of the book Encyclopedia of Separation Science by Marco Gori, Ph.D.
Cover of the book Traveling Wave Analysis of Partial Differential Equations by Marco Gori, Ph.D.
Cover of the book Uncertainty Quantification and Stochastic Modeling with Matlab by Marco Gori, Ph.D.
Cover of the book The Protest Makers by Marco Gori, Ph.D.
Cover of the book Temporal Sampling and Representation Updating by Marco Gori, Ph.D.
Cover of the book Methods and Techniques for Fire Detection by Marco Gori, Ph.D.
Cover of the book Chemical Methods of Rock Analysis by Marco Gori, Ph.D.
Cover of the book Biology of Northern Krill by Marco Gori, Ph.D.
Cover of the book Phononics by Marco Gori, Ph.D.
Cover of the book Advances in Imaging and Electron Physics by Marco Gori, Ph.D.
We use our own "cookies" and third party cookies to improve services and to see statistical information. By using this website, you agree to our Privacy Policy