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Algorithmic Learning Theory

Overview of attention for book
Cover of 'Algorithmic Learning Theory'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 Editors’ Introduction
  3. Altmetric Badge
    Chapter 2 Declarative Modeling for Machine Learning and Data Mining
  4. Altmetric Badge
    Chapter 3 Learnability beyond Uniform Convergence
  5. Altmetric Badge
    Chapter 4 Some Rates of Convergence for the Selected Lasso Estimator
  6. Altmetric Badge
    Chapter 5 Recent Developments in Pattern Mining
  7. Altmetric Badge
    Chapter 6 Exploring Sequential Data
  8. Altmetric Badge
    Chapter 7 Enlarging Learnable Classes
  9. Altmetric Badge
    Chapter 8 Confident and Consistent Partial Learning of Recursive Functions
  10. Altmetric Badge
    Chapter 9 Automatic Learning from Positive Data and Negative Counterexamples
  11. Altmetric Badge
    Chapter 10 Regular Inference as Vertex Coloring
  12. Altmetric Badge
    Chapter 11 Sauer’s Bound for a Notion of Teaching Complexity
  13. Altmetric Badge
    Chapter 12 On the Learnability of Shuffle Ideals
  14. Altmetric Badge
    Chapter 13 New Analysis and Algorithm for Learning with Drifting Distributions
  15. Altmetric Badge
    Chapter 14 On the Hardness of Domain Adaptation and the Utility of Unlabeled Target Samples
  16. Altmetric Badge
    Chapter 15 Efficient Protocols for Distributed Classification and Optimization
  17. Altmetric Badge
    Chapter 16 The Safe Bayesian
  18. Altmetric Badge
    Chapter 17 Data Stability in Clustering: A Closer Look
  19. Altmetric Badge
    Chapter 18 Thompson Sampling: An Asymptotically Optimal Finite-Time Analysis
  20. Altmetric Badge
    Chapter 19 Algorithmic Learning Theory
  21. Altmetric Badge
    Chapter 20 Algorithmic Learning Theory
  22. Altmetric Badge
    Chapter 21 Weighted Last-Step Min-Max Algorithm with Improved Sub-logarithmic Regret
  23. Altmetric Badge
    Chapter 22 Online Prediction under Submodular Constraints
  24. Altmetric Badge
    Chapter 23 Lower Bounds on Individual Sequence Regret
  25. Altmetric Badge
    Chapter 24 A Closer Look at Adaptive Regret
  26. Altmetric Badge
    Chapter 25 Partial Monitoring with Side Information
  27. Altmetric Badge
    Chapter 26 PAC Bounds for Discounted MDPs
  28. Altmetric Badge
    Chapter 27 Buy Low, Sell High
  29. Altmetric Badge
    Chapter 28 Kernelization of Matrix Updates, When and How?
  30. Altmetric Badge
    Chapter 29 Algorithmic Learning Theory
Attention for Chapter 29: Algorithmic Learning Theory
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Chapter title
Algorithmic Learning Theory
Chapter number 29
Book title
Algorithmic Learning Theory
Published in
Lecture notes in computer science, January 2012
DOI 10.1007/978-3-642-34106-9_29
Book ISBNs
978-3-64-234105-2, 978-3-64-234106-9
Authors

Mrinalkanti Ghosh, Satyadev Nandakumar, Ghosh, Mrinalkanti, Nandakumar, Satyadev

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X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
 Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 2 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 2 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 1 50%
Researcher 1 50%
Readers by discipline Count As %
Computer Science 1 50%
Engineering 1 50%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 19 September 2016.
All research outputs
#18,471,305
of 22,888,307 outputs
Outputs from Lecture notes in computer science
#6,013
of 8,127 outputs
Outputs of similar age
#196,571
of 244,739 outputs
Outputs of similar age from Lecture notes in computer science
#389
of 490 outputs
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So far Altmetric has tracked 8,127 research outputs from this source. They receive a mean Attention Score of 5.0. This one is in the 13th percentile – i.e., 13% of its peers scored the same or lower than it.
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We're also able to compare this research output to 490 others from the same source and published within six weeks on either side of this one. This one is in the 8th percentile – i.e., 8% of its contemporaries scored the same or lower than it.

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