Foundations and Trends(r) in Machine Learning

Learning Representation and Control in Markov Decision Processes

Foundations and Trends(r) in Machine Learning, nr. 3

Autor Sridhar Mahadevan et al.

31 mai 2009

Preț: 589^.10 lei 640^.33 lei

6-8 săpt.

-8%

Foundations and Trends(r) in Machine Learning, nr. 4

Autor Yoshua Bengio

31 oct 2009

Preț: 449^.39 lei 561^.74 lei

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Foundations and Trends(r) in Machine Learning, nr. 5

Autor Anna Goldenberg et al.

31 dec 2009

Preț: 423^.82 lei 529^.77 lei

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Foundations and Trends(r) in Machine Learning, nr. 6

Autor Ulrike Von Luxburg

28 feb 2010

Preț: 250^.67 lei 313^.34 lei

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Foundations and Trends(r) in Machine Learning, nr. 7

Autor Christopher J. C. Burges

30 iun 2010

Preț: 374^.58 lei 468^.22 lei

6-8 săpt.

-20%

Distributed Optimization and Statistical Learning Via the Alternating Direction Method of Multipliers

Foundations and Trends(r) in Machine Learning, nr. 8

Autor Stephen Boyd et al.

30 apr 2011

Preț: 424^.76 lei 530^.96 lei

6-8 săpt.

-20%

Randomized Algorithms for Matrices and Data

Foundations and Trends(r) in Machine Learning, nr. 9

Autor Michael W. Mahoney

31 oct 2011

Preț: 399^.34 lei 499^.18 lei

6-8 săpt.

-20%

Online Learning and Online Convex Optimization

Foundations and Trends(r) in Machine Learning, nr. 12

Autor Shai Shalev-Shwartz

29 feb 2012

Preț: 325^.79 lei 407^.24 lei

6-8 săpt.

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On the Concentration Properties of Interacting Particle Processes

Foundations and Trends(r) in Machine Learning, nr. 10

Autor Pierre Del Moral et al.

31 dec 2011

Preț: 494^.57 lei 618^.21 lei

6-8 săpt.

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Optimization with Sparsity-Inducing Penalties

Foundations and Trends(r) in Machine Learning, nr. 11

Autor Francis Bach et al.

30 noi 2011

Preț: 399^.83 lei 499^.79 lei

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Kernels for Vector-Valued Functions: A Review

Foundations and Trends(r) in Machine Learning, nr. 13

Autor Mauricio A. Lvarez et al.

30 apr 2012

Preț: 325^.02 lei 406^.27 lei

6-8 săpt.

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An Introduction to Conditional Random Fields

Foundations and Trends(r) in Machine Learning, nr. 14

Autor Charles Sutton et al.

9 aug 2012

Preț: 423^.82 lei 529^.77 lei

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Regret Analysis of Stochastic and Nonstochastic Multi-Armed Bandit Problems

Foundations and Trends(r) in Machine Learning, nr. 15

Autor S. Bastian Bubeck et al.

11 dec 2012

Preț: 449^.07 lei 561^.34 lei

6-8 săpt.

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Determinantal Point Processes for Machine Learning

Foundations and Trends(r) in Machine Learning, nr. 16

Autor Alex Kulesza et al.

28 noi 2012

Preț: 494^.74 lei 618^.43 lei

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Foundations and Trends(r) in Machine Learning, nr. 17

Autor Brian Kulis

30 iun 2013

Preț: 325^.34 lei 406^.67 lei

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Learning with Submodular Functions: A Convex Optimization Perspective

Foundations and Trends(r) in Machine Learning, nr. 19

Autor Francis Bach

20 noi 2013

Preț: 498^.52 lei 623^.15 lei

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A Tutorial on Linear Function Approximators for Dynamic Programming and Reinforcement Learning: A Convex Optimization Perspective

Foundations and Trends(r) in Machine Learning, nr. 20

Autor Alborz Geramifard et al.

27 feb 2014

Preț: 349^.65 lei 437^.06 lei

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Backward Simulation Methods for Monte Carlo Statistical Inference

Foundations and Trends(r) in Machine Learning, nr. 18

Autor Fredrik Lindsten et al.

31 iul 2013

Preț: 493^.77 lei 617^.22 lei

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From Bandits to Monte-Carlo Tree Search: The Optimistic Principle Applied to Optimization and Planning

Foundations and Trends(r) in Machine Learning, nr. 21

Autor Remi Munos

30 ian 2014

Preț: 473^.69 lei 592^.12 lei

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Theory of Disagreement-Based Active Learning

Foundations and Trends(r) in Machine Learning, nr. 22

Autor Steve Hanneke

29 mai 2014

Preț: 495^.69 lei 619^.61 lei

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Adaptation, Learning, and Optimization Over Networks

Foundations and Trends(r) in Machine Learning, nr. 23

Autor Ali H. Sayed

29 iun 2014

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Foundations and Trends(r) in Machine Learning, nr. 26

Autor Sébastien Bubeck

27 oct 2015

Preț: 473^.55 lei 591^.94 lei

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Foundations and Trends(r) in Machine Learning, nr. 27

Autor Mohammad Ghavamzadeh et al.

17 noi 2015

Preț: 473^.69 lei 592^.12 lei

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Foundations and Trends(r) in Machine Learning, nr. 29

Autor Elaine Angelino et al.

29 noi 2016

Preț: 473^.87 lei 592^.34 lei

6-8 săpt.

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Foundations and Trends(r) in Machine Learning

Learning Representation and Control in Markov Decision Processes

Learning Deep Architectures for AI

A Survey of Statistical Network Models

Clustering Stability: An Overview

Dimension Reduction: A Guided Tour

Distributed Optimization and Statistical Learning Via the Alternating Direction Method of Multipliers

Randomized Algorithms for Matrices and Data

Online Learning and Online Convex Optimization

On the Concentration Properties of Interacting Particle Processes

Optimization with Sparsity-Inducing Penalties

Kernels for Vector-Valued Functions: A Review

An Introduction to Conditional Random Fields

Regret Analysis of Stochastic and Nonstochastic Multi-Armed Bandit Problems

Determinantal Point Processes for Machine Learning

Metric Learning

Learning with Submodular Functions: A Convex Optimization Perspective

A Tutorial on Linear Function Approximators for Dynamic Programming and Reinforcement Learning: A Convex Optimization Perspective

Backward Simulation Methods for Monte Carlo Statistical Inference

From Bandits to Monte-Carlo Tree Search: The Optimistic Principle Applied to Optimization and Planning

Theory of Disagreement-Based Active Learning

Adaptation, Learning, and Optimization Over Networks

Convex Optimization

Bayesian Reinforcement Learning

Patterns of Scalable Bayesian Inference

Papetărie, jocuri, reviste

Foundations and Trends(r) in Machine Learning