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Reeksen: boeken uit de reeks Foundations and Trends® in Machine Learning
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A Tutorial on Thompson Sampling
Daniel J. Russo, Benjamin Van Roy, Abbas Kazerouni, Ian Osband, Zheng Wen
- Paperback | Foundations and Trends® in Machine Learning
- Covers the Thompson sampling algorithm and its application, illustrating concepts through a range of examples, including Bernoulli bandit problems, sh... Lees meer
€ 85,45Levertermijn 1 à 4 weken€ 85,45Levertermijn 1 à 4 weken -
Backward Simulation Methods for Monte Carlo Statistical Inference
Fredrik Lindsten, Thomas B. Schon
- Paperback | Foundations and Trends® in Machine Learning
- Reviews a branch of Monte Carlo methods that are based on the forward-backward idea, and that are referred to as backward simulators. In recent years,... Lees meer
€ 120,45Levertermijn 1 à 4 weken€ 120,45Levertermijn 1 à 4 weken -
Patterns of Scalable Bayesian Inference
Elaine Angelino, Matthew James Johnson, Ryan P. Adams
- Paperback | Foundations and Trends® in Machine Learning
- Identifies unifying principles, patterns, and intuitions for scaling Bayesian inference. This book examines how these techniques can be scaled up to l... Lees meer
€ 107,95Levertermijn 1 à 4 weken€ 107,95Levertermijn 1 à 4 weken -
Risk-Sensitive Reinforcement Learning via Policy Gradient Search
Prashanth L. A., Michael C. Fu
- Paperback | Foundations and Trends® in Machine Learning
- Reinforcement learning (RL) is one of the foundational pillars of artificial intelligence and machine learning. An important consideration in any opti... Lees meer
€ 110,45Levertermijn 1 à 4 weken€ 110,45Levertermijn 1 à 4 weken -
An Introduction to Matrix Concentration Inequalities
Joel A. Tropp
- Paperback | Foundations and Trends® in Machine Learning
- Offers an invitation to the field of matrix concentration inequalities. The book begins with some history of random matrix theory; describes a flexibl... Lees meer
€ 89,45Levertermijn 1 à 4 weken€ 89,45Levertermijn 1 à 4 weken -
Adaptation, Learning, and Optimization over Networks
Ali H. Sayed
- Paperback | Foundations and Trends® in Machine Learning
- Examines the topic of information processing over graphs. The presentation is largely self-contained and covers results that relate to the analysis an... Lees meer
€ 81,45Levertermijn 1 à 4 weken€ 81,45Levertermijn 1 à 4 weken -
Bayesian Reinforcement Learning
Mohammed Ghavamzadeh, Shie Mannor, Joelle Pineau, Aviv Tamar
- Paperback | Foundations and Trends® in Machine Learning
- Discusses models and methods for Bayesian inference in the simple single-step Bandit model. The book then reviews the extensive recent literature on B... Lees meer
€ 88,45Levertermijn 1 à 4 weken€ 88,45Levertermijn 1 à 4 weken -
Learning Deep Architectures for AI
Yoshua Bengio
- Paperback | Foundations and Trends® in Machine Learning
- Discusses the motivations for and principles of learning algorithms for deep architectures. By analysing and comparing recent results with different l... Lees meer
€ 114,95Levertermijn 1 à 4 weken€ 114,95Levertermijn 1 à 4 weken -
Introduction to Multi-Armed Bandits
Aleksandrs Slivkins
- Paperback | Foundations and Trends® in Machine Learning
- Provides a textbook like treatment of multi-armed bandits. The work on multi-armed bandits can be partitioned into a dozen or so directions. Each chap... Lees meer
€ 108,95Levertermijn 1 à 4 weken€ 108,95Levertermijn 1 à 4 weken -
Graphical Models, Exponential Families, and Variational Inference
Martin J. Wainwright, Michael I. Jordan
- Paperback | Foundations and Trends® in Machine Learning
- Working with exponential family representations, and exploiting the conjugate duality between the cumulant function and the entropy for exponential fa... Lees meer
€ 138,45Levertermijn 1 à 4 weken€ 138,45Levertermijn 1 à 4 weken -
Spectral Learning on Matrices and Tensors
Majid Janzamin, Rong Ge, Jean Kossaifi, Anima Anandkumar
- Paperback | Foundations and Trends® in Machine Learning
- Surveys recent progress in using spectral methods, including matrix and tensor decomposition techniques, to learn many popular latent variable models.... Lees meer
€ 106,45Levertermijn 1 à 4 weken€ 106,45Levertermijn 1 à 4 weken -
Determinantal Point Processes for Machine Learning
Alex Kulesza, Ben Taskar
- Paperback | Foundations and Trends® in Machine Learning
- Provides a comprehensible introduction to determinantal point processes (DPPs), focusing on the intuitions, algorithms, and extensions that are most r... Lees meer
€ 111,95Levertermijn 1 à 4 weken€ 111,95Levertermijn 1 à 4 weken -
Kernels for Vector-Valued Functions
Mauricio A. Alvarez, Lorenzo Rosasco, Neil D. Lawrence
- Paperback | Foundations and Trends® in Machine Learning
- Explores different methods to design or learn valid kernel functions for multiple outputs, paying particular attention to the connection between proba... Lees meer
€ 74,45Levertermijn 1 à 4 weken€ 74,45Levertermijn 1 à 4 weken -
An Introduction to Conditional Random Fields
Charles Sutton, Andrew McCallum
- Paperback | Foundations and Trends® in Machine Learning
- Provides a comprehensive tutorial aimed at application-oriented practitioners seeking to apply CRFs. The monograph does not assume previous knowledge ... Lees meer
€ 93,95Levertermijn 1 à 4 weken€ 93,95Levertermijn 1 à 4 weken -
Learning Representation and Control in Markov Decision Processes
Sridhar Mahadaven
- Paperback | Foundations and Trends® in Machine Learning
- Describes methods for automatically compressing Markov decision processes (MDPs) by learning a low-dimensional linear approximation defined by an orth... Lees meer
€ 136,95Levertermijn 1 à 4 weken€ 136,95Levertermijn 1 à 4 weken -
Generalized Low Rank Models
Madeleine Udell, Corinne Horn, Reza Zadeh, Stephen Boyd
- Paperback | Foundations and Trends® in Machine Learning
- Principal components analysis (PCA) is a well-known technique for approximating a tabular data set by a low rank matrix. In this volume, the authors e... Lees meer
€ 86,95Levertermijn 1 à 4 weken€ 86,95Levertermijn 1 à 4 weken -
An Introduction to Deep Reinforcement Learning
Vincent Francois-Lavet, Peter Henderson, Riashat Islam, Marc G. Bellemare, Joelle Pineau
- Paperback | Foundations and Trends® in Machine Learning
- Provides a starting point for understanding deep reinforcement learning. Although written at a research level it provides a comprehensive and accessib... Lees meer
€ 108,95Levertermijn 1 à 4 weken€ 108,95Levertermijn 1 à 4 weken -
Learning with Submodular Functions
Francis Bach
- Paperback | Foundations and Trends® in Machine Learning
- Presents the theory of submodular functions in a self-contained way from a convex analysis perspective, presenting tight links between certain polyhed... Lees meer
€ 85,45Levertermijn 1 à 4 weken€ 85,45Levertermijn 1 à 4 weken -
Dynamical Variational Autoencoders
Laurent Girin, Simon Leglaive, Xiaoyu Bie, Julien Diard, Thomas Hueber, Xavier Alameda-Pineda
- Paperback | Foundations and Trends® in Machine Learning
- Variational autoencoders are powerful deep generative models widely used to represent high-dimensional complex data through a low-dimensional latent s... Lees meer
€ 103,45Levertermijn 1 à 4 weken€ 103,45Levertermijn 1 à 4 weken -
Online Learning and Online Convex Optimization
Shai Shalev-Shwartz
- Paperback | Foundations and Trends® in Machine Learning
- Provides an overview of online learning. The aim is to provide the reader with a sense of some of the interesting ideas and in particular to underscor... Lees meer
€ 76,95Levertermijn 1 à 4 weken€ 76,95Levertermijn 1 à 4 weken -
Distributed Optimization and Statistical Learning via the Alternating Direction Method of Multipliers
Stephen Boyd, Neal Parikh, Eric Chu, Borja Peleato, Jonathan Eckstein
- Paperback | Foundations and Trends® in Machine Learning
- Argues that the alternating direction method of multipliers is well suited to distributed convex optimization, and in particular to large-scale proble... Lees meer
€ 104,95Levertermijn 1 à 4 weken€ 104,95Levertermijn 1 à 4 weken -
Metric Learning
Brian Kulis
- Paperback | Foundations and Trends® in Machine Learning
- Presents an overview of existing research in this topic, including recent progress on scaling to high-dimensional feature spaces and to data sets with... Lees meer
€ 78,45Levertermijn 1 à 4 weken€ 78,45Levertermijn 1 à 4 weken -
Explaining the Success of Nearest Neighbor Methods in Prediction
George H. Chen, Devavrat Shah
- Paperback | Foundations and Trends® in Machine Learning
- Many modern methods for prediction leverage nearest neighbour search to find past training examples most similar to a test example, an idea that dates... Lees meer
€ 102,45Levertermijn 1 à 4 weken€ 102,45Levertermijn 1 à 4 weken -
Explicit-Duration Markov Switching Models
Silvia Chiappa
- Paperback | Foundations and Trends® in Machine Learning
- Provides a simple and clear description of explicit-duration modelling by categorizing the different approaches into three main groups, which differ i... Lees meer
€ 62,95Levertermijn 1 à 4 weken€ 62,95Levertermijn 1 à 4 weken