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Bedankt voor het vertrouwen het afgelopen jaar! Om jou te bedanken bieden we GRATIS verzending (in België) aan op alles gedurende de hele maand januari.
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- Gratis thuislevering in België
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Reeksen: boeken uit de reeks Foundations and Trends(r) in Machine Learning
-
Machine Learning for Automated Theorem Proving
Sean B Holden
- Paperback | Engels | Foundations and Trends(r) in Machine Learning
- Automated theorem proving represents a significant and long-standing area of research in computer science, with numerous applications. A large proport... Lees meer
€ 99,45Levertermijn 1 à 4 weken€ 99,45Levertermijn 1 à 4 weken -
A Tutorial on Thompson Sampling
Daniel J Russo, Benjamin Van Roy, Abbas Kazerouni, Ian Osband, Zheng Wen
- Paperback | Engels | Foundations and Trends(r) in Machine Learning | nr. 34
- Thompson sampling is an algorithm for online decision problems where actions are taken sequentially in a manner that must balance between exploiting w... 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 Schön
- Paperback | Engels | Foundations and Trends(r) in Machine Learning | nr. 18
- Monte Carlo methods, in particular those based on Markov chains and on interacting particle systems, are by now tools that are routinely used in machi... 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 | Engels | Foundations and Trends(r) in Machine Learning | nr. 29
- Datasets are growing not just in size but in complexity, creating a demand for rich models and quantification of uncertainty. Bayesian methods are an ... Lees meer
€ 107,95Levertermijn 1 à 4 weken€ 107,95Levertermijn 1 à 4 weken -
Conformal Prediction
Anastasios N Angelopoulos, Stephen Bates
- Paperback | Engels | Foundations and Trends(r) in Machine Learning
- Black-box machine learning models are now routinely used in high-risk settings, like medical diagnostics, which demand uncertainty quantification to a... Lees meer
€ 108,95Levering 1 à 4 weken€ 108,95Levering 1 à 4 weken -
Risk-Sensitive Reinforcement Learning Via Policy Gradient Search
Prashanth L a, Michael C Fu
- Paperback | Engels | Foundations and Trends(r) 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 | Engels | Foundations and Trends(r) in Machine Learning | nr. 25
- Random matrices now play a role in many areas of theoretical, applied, and computational mathematics. It is therefore desirable to have tools for stud... Lees meer
€ 89,45Levertermijn 1 à 4 weken€ 89,45Levertermijn 1 à 4 weken -
An Introduction to Wishart Matrix Moments
Adrian N Bishop, Pierre del Moral, Angèle Niclas
- Paperback | Engels | Foundations and Trends(r) in Machine Learning | nr. 35
- Random matrix theory plays a central role in statistical physics, computational mathematics and engineering sciences, including data assimilation, sig... Lees meer
€ 96,45Levertermijn 1 à 4 weken€ 96,45Levertermijn 1 à 4 weken -
Non-Convex Optimization for Machine Learning
Prateek Jain, Purushottam Kar
- Paperback | Engels | Foundations and Trends(r) in Machine Learning | nr. 32
- Non-convex Optimization for Machine Learning takes an in-depth look at the basics of non-convex optimization with applications to machine learning. It... Lees meer
€ 99,45Levertermijn 1 à 4 weken€ 99,45Levertermijn 1 à 4 weken -
Introduction to Multi-Armed Bandits
Aleksandrs Slivkins
- Paperback | Engels | Foundations and Trends(r) in Machine Learning | nr. 38
- This book gives a broad and accessible introduction to multi-armed bandits, a rich, multi-disciplinary area of increasing importance. The material is ... Lees meer
€ 108,95Levertermijn 1 à 4 weken€ 108,95Levertermijn 1 à 4 weken -
Adaptation, Learning, and Optimization Over Networks
Ali H Sayed
- Paperback | Engels | Foundations and Trends(r) in Machine Learning | nr. 23
- Adaptation, Learning, and Optimization over Networks deals with the topic of information processing over graphs. The presentation is largely self-cont... Lees meer
€ 81,45Levertermijn 1 à 4 weken€ 81,45Levertermijn 1 à 4 weken -
Learning Deep Architectures for AI
Yoshua Bengio
- Paperback | Engels | Foundations and Trends(r) in Machine Learning | nr. 4
- Can machine learning deliver AI? Theoretical results, inspiration from the brain and cognition, as well as machine learning experiments suggest that i... Lees meer
€ 114,95Levertermijn 1 à 4 weken€ 114,95Levertermijn 1 à 4 weken -
Spectral Methods for Data Science
Yuxin Chen, Yuejie Chi, Jianqing Fan, Cong Ma
- Paperback | Engels | Foundations and Trends(r) in Machine Learning
- In contemporary science and engineering applications, the volume of available data is growing at an enormous rate. Spectral methods have emerged as a ... Lees meer
€ 99,45Levertermijn 1 à 4 weken€ 99,45Levertermijn 1 à 4 weken -
Bayesian Reinforcement Learning
Mohammed Ghavamzadeh, Shie Mannor, Joelle Pineau, Aviv Tamar
- Paperback | Engels | Foundations and Trends(r) in Machine Learning | nr. 27
- Bayesian methods for machine learning have been widely investigated, yielding principled methods for incorporating prior information into inference al... Lees meer
€ 88,45Levertermijn 1 à 4 weken€ 88,45Levertermijn 1 à 4 weken -
Tensor Networks for Dimensionality Reduction and Large-Scale Optimization
Andrzej Cichocki, Namgil Lee, Ivan Oseledets, Anh-Huy Phan, Qibin Zhao, Danilo P Mandic
- Paperback | Engels | Foundations and Trends(r) in Machine Learning | nr. 30
- This monograph builds on Tensor Networks for Dimensionality Reduction and Large-scale Optimization: Part 1 Low-Rank Tensor Decompositions by discussin... Lees meer
€ 127,45Levertermijn 1 à 4 weken€ 127,45Levertermijn 1 à 4 weken -
Introduction to Riemannian Geometry and Geometric Statistics
Nicolas Guigui, Nina Miolane, Xavier Pennec
- Paperback | Engels | Foundations and Trends(r) in Machine Learning
- As data is a predominant resource in applications, Riemannian geometry is a natural framework to model and unify complex nonlinear sources of data. Ho... Lees meer
€ 134,45Levering 1 à 4 weken€ 134,45Levering 1 à 4 weken -
Model-Based Reinforcement Learning
Thomas M Moerland, Joost Broekens, Aske Plaat, Catholijn M Jonker
- Paperback | Engels | Foundations and Trends(r) in Machine Learning
- Sequential decision making, commonly formalized as Markov Decision Process (MDP) optimization, is an important challenge in artificial intelligence. T... Lees meer
€ 122,45Levering 1 à 4 weken€ 122,45Levering 1 à 4 weken -
Kernel Mean Embedding of Distributions
Krikamol Muandet, Kenji Fukumizu, Bharath Sriperumbudur, Bernhard Schölkopf
- Paperback | Engels | Foundations and Trends(r) in Machine Learning | nr. 31
- A Hilbert space embedding of a distribution--in short, a kernel mean embedding--has recently emerged as a powerful tool for machine learning and stati... Lees meer
€ 106,45Levertermijn 1 à 4 weken€ 106,45Levertermijn 1 à 4 weken -
Graphical Models, Exponential Families, and Variational Inference
Martin J Wainwright, Michael I Jordan
- Paperback | Engels | Foundations and Trends(r) in Machine Learning | nr. 1
- The formalism of probabilistic graphical models provides a unifying framework for capturing complex dependencies among random variables, and building ... Lees meer
€ 138,45Levertermijn 1 à 4 weken€ 138,45Levertermijn 1 à 4 weken -
Determinantal Point Processes for Machine Learning
Alex Kulesza, Ben Taskar
- Paperback | Engels | Foundations and Trends(r) in Machine Learning | nr. 16
- Determinantal point processes (DPPs) are elegant probabilistic models of repulsion that arise in quantum physics and random matrix theory. In contrast... Lees meer
€ 111,95Levertermijn 1 à 4 weken€ 111,95Levertermijn 1 à 4 weken -
Spectral Learning on Matrices and Tensors
Majid Janzamin, Rong Ge, Jean Kossaifi, Anima Anandkumar
- Paperback | Engels | Foundations and Trends(r) in Machine Learning | nr. 41
- The authors of this monograph survey recent progress in using spectral methods including matrix and tensor decomposition techniques to learn many popu... Lees meer
€ 106,45Levertermijn 1 à 4 weken€ 106,45Levertermijn 1 à 4 weken -
Learning Representation and Control in Markov Decision Processes
Sridhar Mahadaven
- Paperback | Engels | Foundations and Trends(r) in Machine Learning | nr. 3
- Learning Representation and Control in Markov Decision Processes describes methods for automatically compressing Markov decision processes (MDPs) by l... Lees meer
€ 136,95Levertermijn 1 à 4 weken€ 136,95Levertermijn 1 à 4 weken -
Kernels for Vector-Valued Functions
Mauricio A Álvarez, Lorenzo Rosasco, Neil D Lawrence
- Paperback | Engels | Foundations and Trends(r) in Machine Learning | nr. 13
- Kernel methods are among the most popular techniques in machine learning. From a regularization theory perspective, they provide a natural choice for ... 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 | Engels | Foundations and Trends(r) in Machine Learning | nr. 14
- An Introduction to Conditional Random Fields provides a comprehensive tutorial aimed at application-oriented practitioners seeking to apply CRFs. The ... Lees meer
€ 93,95Levertermijn 1 à 4 weken€ 93,95Levertermijn 1 à 4 weken