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Reeksen: boeken uit de reeks Foundations and Trends(r) in Machine Learning
-
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
€ 169,95Levering 2 à 3 weken€ 169,95Levering 2 à 3 weken -
Distributed Optimization and Statistical Learning Via the Alternating Direction Method of Multipliers
Stephen Boyd, Neal Parikh, Eric Chu
- Paperback | Engels | Foundations and Trends(r) in Machine Learning | nr. 8
- Many problems of recent interest in statistics and machine learning can be posed in the framework of convex optimization. Due to the explosion in size... Lees meer
€ 115,45Levering 2 à 3 weken€ 115,45Levering 2 à 3 weken -
From Bandits to Monte-Carlo Tree Search
Remi Munos
- Paperback | Engels | Foundations and Trends(r) in Machine Learning | nr. 21
- From Bandits to Monte-Carlo Tree Search: The Optimistic Principle Applied to Optimization and Planning covers several aspects of the "optimism in the ... Lees meer
€ 128,95Levering 2 à 3 weken€ 128,95Levering 2 à 3 weken -
Kernels for Vector-Valued Functions
Mauricio A Lvarez, 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
€ 88,45Levering 2 à 3 weken€ 88,45Levering 2 à 3 weken -
Tutorial on Amortized Optimization
Brandon Amos
- Paperback | Engels | Foundations and Trends(r) in Machine Learning
- Optimization is a ubiquitous modeling tool and is often deployed in settings which repeatedly solve similar instances of the same problem. Amortized o... Lees meer
€ 134,45Levering 2 à 3 weken€ 134,45Levering 2 à 3 weken -
An Introduction to Deep Reinforcement Learning
Vincent François-Lavet, Peter Henderson, Riashat Islam
- Paperback | Engels | Foundations and Trends(r) in Machine Learning | nr. 36
- Deep reinforcement learning is the combination of reinforcement learning (RL) and deep learning. This field of research has recently been able to solv... Lees meer
€ 134,45Levering 2 à 3 weken€ 134,45Levering 2 à 3 weken -
Theory of Disagreement-Based Active Learning
Steve Hanneke
- Paperback | Engels | Foundations and Trends(r) in Machine Learning | nr. 22
- Active learning is a protocol for supervised machine learning in which a learning algorithm sequentially requests the labels of selected data points f... Lees meer
€ 134,45Levering 2 à 3 weken€ 134,45Levering 2 à 3 weken -
A Tutorial on Thompson Sampling
Daniel J Russo, Benjamin Van Roy, Abbas Kazerouni
- 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
€ 108,95Levering 2 à 3 weken€ 108,95Levering 2 à 3 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
€ 134,45Levering 2 à 3 weken€ 134,45Levering 2 à 3 weken -
Dynamical Variational Autoencoders
Laurent Girin, Simon Leglaive, Xiaoyu Bie
- Paperback | Engels | Foundations and Trends(r) in Machine Learning
- Variational autoencoders (VAEs) are powerful deep generative models widely used to represent high-dimensional complex data through a low-dimensional l... Lees meer
€ 134,45Levering 2 à 3 weken€ 134,45Levering 2 à 3 weken -
Graph Kernels
Karsten Borgwardt, Elisabetta Ghisu, Felipe Llinares-López
- Paperback | Engels | Foundations and Trends(r) in Machine Learning
- Among the data structures commonly used in machine learning, graphs are arguably one of the most general. Graphs allow the modelling of complex object... Lees meer
€ 134,45Levering 2 à 3 weken€ 134,45Levering 2 à 3 weken -
A Tutorial on Linear Function Approximators for Dynamic Programming and Reinforcement Learning
Alborz Geramifard, Thomas J Walsh, Stefanie Tellex
- Paperback | Engels | Foundations and Trends(r) in Machine Learning | nr. 20
- A Markov Decision Process (MDP) is a natural framework for formulating sequential decision-making problems under uncertainty. In recent years, researc... Lees meer
€ 94,95Levering 2 à 3 weken€ 94,95Levering 2 à 3 weken -
On the Concentration Properties of Interacting Particle Processes
Pierre del Moral, Peng Hu, Liming Wu
- Paperback | Engels | Foundations and Trends(r) in Machine Learning | nr. 10
- This monograph presents some new concentration inequalities for Feynman-Kac particle processes. It analyzes different types of stochastic particle mod... Lees meer
€ 134,45Levering 2 à 3 weken€ 134,45Levering 2 à 3 weken -
Data Analytics on Graphs
Ljubisa Stankovic, Danilo Mandic, Milos Dakovic
- Hardcover | Engels | Foundations and Trends(r) in Machine Learning
- The current availability of powerful computers and huge data sets is creating new opportunities in computational mathematics to bring together concept... Lees meer
€ 196,95Levering 2 à 3 weken€ 196,95Levering 2 à 3 weken -
Model-based Reinforcement Learning
Thomas M Moerland, Joost Broekens, Aske Plaat
- 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 2 à 3 weken€ 122,45Levering 2 à 3 weken -
Regret Analysis of Stochastic and Nonstochastic Multi-Armed Bandit Problems
S Bastian Bubeck, Nicolo Cesa-Bianchi, Sebastien Bubeck
- Paperback | Engels | Foundations and Trends(r) in Machine Learning | nr. 15
- A multi-armed bandit problem - or, simply, a bandit problem - is a sequential allocation problem defined by a set of actions. At each time step, a uni... Lees meer
€ 122,45Levering 2 à 3 weken€ 122,45Levering 2 à 3 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
€ 128,95Levering 2 à 3 weken€ 128,95Levering 2 à 3 weken -
Determinantal Point Processes for Machine Learning
Alex Kulesza, Ben Taskar
- Paperback | Engels | Foundations and Trends(r) in Machine Learning | nr. 16
- Provides a comprehensible introduction to determinantal point processes (DPPs), focusing on the intuitions, algorithms, and extensions that are most r... Lees meer
€ 134,45Levering 2 à 3 weken€ 134,45Levering 2 à 3 weken -
Spectral Methods for Data Science
Yuxin Chen, Yuejie Chi, Jianqing Fan
- 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
€ 134,45Levering 2 à 3 weken€ 134,45Levering 2 à 3 weken -
A Unifying Tutorial on Approximate Message Passing
Oliver Y Feng, Ramji Venkataramanan, Cynthia Rush
- Paperback | Engels | Foundations and Trends(r) in Machine Learning
- Over the last decade, Approximate Message Passing (AMP) algorithms have become extremely popular in various structured high-dimensional statistical pr... Lees meer
€ 134,45Levering 2 à 3 weken€ 134,45Levering 2 à 3 weken -
Tensor Networks for Dimensionality Reduction and Large-scale Optimization
Andrzej Cichocki, Namgil Lee, Ivan Oseledets
- Paperback | Engels | Foundations and Trends(r) in Machine Learning | nr. 29
- Modern applications in engineering and data science are increasingly based on multidimensional data of exceedingly high volume, variety, and structura... Lees meer
€ 134,45Levering 2 à 3 weken€ 134,45Levering 2 à 3 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
€ 134,45Levering 2 à 3 weken€ 134,45Levering 2 à 3 weken -
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
€ 134,45Levering 2 à 3 weken€ 134,45Levering 2 à 3 weken -
Clustering Stability
Ulrike Von Luxburg
- Paperback | Engels | Foundations and Trends(r) in Machine Learning | nr. 6
- Clustering Stability: An Overview provides a high-level overview about the existing literature on clustering stability. It reviews different protocols... Lees meer
€ 67,95Levering 2 à 3 weken€ 67,95Levering 2 à 3 weken