Sari: Adaptive Computation and Machine Learning series
(Ilmumisaeg: 19-Dec-2023, Hardback, Kirjastus: MIT Press, ISBN-13: 9780262048613)
This book offers a critical view on the current practice of machine learning, as well as proposed technical fixes for achieving fairness in automated decisionmaking-- An introduction to the intellectual foundations and practical utility...Loe edasi...
Albert Bifet, Ricard Gavalda, Geoffrey Holmes, Bernhard Pfahringer
Sari: Adaptive Computation and Machine Learning series
(Ilmumisaeg: 09-May-2023, Paperback / softback, Kirjastus: MIT Press, ISBN-13: 9780262547833)
A hands-on approach to tasks and techniques in data stream mining and real-time analytics, with examples in MOA, a popular freely available open-source software framework.Today many information sources—including sensor networks, financ...Loe edasi...
Sari: Adaptive Computation and Machine Learning series
(Ilmumisaeg: 01-Nov-2022, Paperback / softback, Kirjastus: MIT Press, ISBN-13: 9780262546591)
An overview of the theory and application of kernel classification methods.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 limit...Loe edasi...
Sari: Adaptive Computation and Machine Learning series
(Ilmumisaeg: 06-Sep-2022, Hardback, Kirjastus: MIT Press, ISBN-13: 9780262046985)
New edition of a graduate-level textbook on that focuses on online convex optimization, a machine learning framework that views optimization as a process.In many practical applications, the environment is so complex that it is not feas...Loe edasi...
Sari: Adaptive Computation and Machine Learning series
(Ilmumisaeg: 23-Aug-2022, Hardback, Kirjastus: MIT Press, ISBN-13: 9780262047074)
Fundamental theory and practical algorithms of weakly supervised classification, emphasizing an approach based on empirical risk minimization.Standard machine learning techniques require large amounts of labeled data to work well. When we apply m...Loe edasi...
Sari: Adaptive Computation and Machine Learning series
(Ilmumisaeg: 24-Mar-2020, Hardback, Kirjastus: MIT Press, ISBN-13: 9780262043793)
A substantially revised fourth edition of a comprehensive textbook, including new coverage of recent advances in deep learning and neural networks.The goal of machine learning is to program computers to use example data or past exper...Loe edasi...
Sari: Adaptive Computation and Machine Learning series
(Ilmumisaeg: 01-Oct-2019, Hardback, Kirjastus: MIT Press, ISBN-13: 9780262042840)
A survey of computational methods for understanding, generating, and manipulating human language, which offers a synthesis of classical representations and algorithms with contemporary machine learning techniques. A survey of computatio...Loe edasi...
Lise Getoor, Avi Pfeffer, Ben Taskar, Daphne Koller, Nir Friedman, Lise Getoor, Ben Taskar, Sao Deroski, Charles Sutton, Andrew McCallum...
Sari: Adaptive Computation and Machine Learning series
(Ilmumisaeg: 22-Sep-2019, Paperback / softback, Kirjastus: MIT Press, ISBN-13: 9780262538688)
Advanced statistical modeling and knowledge representation techniques for a newly emerging area of machine learning and probabilistic reasoning; includes introductory material, tutorials for different proposed approaches, and applications. ...Loe edasi...
Sari: Adaptive Computation and Machine Learning series
(Ilmumisaeg: 25-Dec-2018, Hardback, Kirjastus: MIT Press, ISBN-13: 9780262039406)
A new edition of a graduate-level machine learning textbook that focuses on the analysis and theory of algorithms.This book is a general introduction to machine learning that can serve as a textbook for graduate students and a refere...Loe edasi...
Sari: Adaptive Computation and Machine Learning series
(Ilmumisaeg: 05-Jun-2018, Paperback / softback, Kirjastus: MIT Press, ISBN-13: 9780262536578)
A comprehensive introduction to Support Vector Machines and related kernel methods.In the 1990s, a new type of learning algorithm was developed, based on results from statistical learning theory: the Support Vector Machine (SVM). Thi...Loe edasi...
Sari: Adaptive Computation and Machine Learning series
(Ilmumisaeg: 29-Nov-2017, Hardback, Kirjastus: MIT Press, ISBN-13: 9780262037310)
The mathematization of causality is a relatively recent development, and has become increasingly important in data science and machine learning. This book offers a self-contained and concise introduction to causal models and how to learn them from...Loe edasi...
Sari: Adaptive Computation and Machine Learning series
(Ilmumisaeg: 22-Aug-2014, Hardback, Kirjastus: MIT Press, ISBN-13: 9780262028189)
The goal of machine learning is to program computers to use example data or past experience to solve a given problem. Many successful applications of machine learning exist already, including systems that analyze past sales data to predict custome...Loe edasi...
Sari: Adaptive Computation and Machine Learning series
(Ilmumisaeg: 10-Jan-2014, Paperback / softback, Kirjastus: MIT Press, ISBN-13: 9780262526036)
Boosting is an approach to machine learning based on the idea of creating a highly accurate predictor by combining many weak and inaccurate "rules of thumb." A remarkably rich theory has evolved around boosting, with connections to a ran...Loe edasi...
Sari: Adaptive Computation and Machine Learning series
(Ilmumisaeg: 17-Aug-2012, Hardback, Kirjastus: MIT Press, ISBN-13: 9780262018258)
This graduate-level textbook introduces fundamental concepts and methods in machinelearning. It describes several important modern algorithms, provides the theoretical underpinningsof these algorithms, and illustrates key aspects for their applica...Loe edasi...
Sari: Adaptive Computation and Machine Learning series
(Ilmumisaeg: 25-May-2012, Hardback, Kirjastus: MIT Press, ISBN-13: 9780262017183)
saadame teile pakkumise kasutatud raamatule, mille hind võib erineda kodulehel olevast hinnast
Boosting is an approach to machine learning based on the idea of creating a highlyaccurate predictor by combining many weak and inaccurate rules of thumb. A remarkablyrich theory has evolved around boosting, with connections to a range of topics...Loe edasi...
Sari: Adaptive Computation and Machine Learning Series
(Ilmumisaeg: 01-Feb-2010, Hardback, Kirjastus: MIT Press, ISBN-13: 9780262012430)
saadame teile pakkumise kasutatud raamatule, mille hind võib erineda kodulehel olevast hinnast
A new edition of an introductory text in machine learning that gives a unified treatment of machine learning problems and solutions. The goal of machine learning is to program computers to use example data or past experience to solve a given...Loe edasi...
Olivier Chapelle, Bernhard Schölkopf, Alexander Zien
Sari: Adaptive Computation and Machine Learning series
(Ilmumisaeg: 22-Jan-2010, Paperback / softback, Kirjastus: MIT Press, ISBN-13: 9780262514125)
A comprehensive review of an area of machine learning that deals with the use of unlabeled data in classification problems: state-of-the-art algorithms, a taxonomy of the field, applications, benchmark experiments, and directions for future research....Loe edasi...
Sari: Adaptive Computation and Machine Learning series
(Ilmumisaeg: 31-Jul-2009, Hardback, Kirjastus: MIT Press, ISBN-13: 9780262013192)
A general framework for constructing and using probabilistic models of complex systems that would enable a computer to use available information for making decisions. Most tasks require a person or an automated system to reason—to reach...Loe edasi...
Lise Getoor, Avi Pfeffer, Ben Taskar, Daphne Koller, Nir Friedman, Lise Getoor, Ben Taskar, Sao Deroski, Charles Sutton, Andrew McCallum...
Sari: Adaptive Computation and Machine Learning series
(Ilmumisaeg: 01-Nov-2007, Hardback, Kirjastus: MIT Press, ISBN-13: 9780262072885)
Advanced statistical modeling and knowledge representation techniques for a newly emerging area of machine learning and probabilistic reasoning; includes introductory material, tutorials for different proposed approaches, and applications. Ha...Loe edasi...
Sari: Adaptive Computation and Machine Learning series
(Ilmumisaeg: 23-Mar-2007, Paperback / softback, Kirjastus: MIT Press, ISBN-13: 9780262529631)
A comprehensive introduction and reference guide to the minimum description length (MDL) Principle that is accessible to researchers dealing with inductive reference in diverse areas including statistics, pattern classification, machine learnin...Loe edasi...
