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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 Models for Autonomously Motivated Exploration in Reinforcement Learning
  4. Altmetric Badge
    Chapter 3 On the Expressive Power of Deep Architectures
  5. Altmetric Badge
    Chapter 4 Optimal Estimation
  6. Altmetric Badge
    Chapter 5 Learning from Label Preferences
  7. Altmetric Badge
    Chapter 6 Information Distance and Its Extensions
  8. Altmetric Badge
    Chapter 7 Iterative Learning from Positive Data and Counters
  9. Altmetric Badge
    Chapter 8 Algorithmic Learning Theory
  10. Altmetric Badge
    Chapter 9 Algorithmic Learning Theory
  11. Altmetric Badge
    Chapter 10 Learning Relational Patterns
  12. Altmetric Badge
    Chapter 11 Adaptive and Optimal Online Linear Regression on ℓ 1 -Balls
  13. Altmetric Badge
    Chapter 12 Re-adapting the Regularization of Weights for Non-stationary Regression
  14. Altmetric Badge
    Chapter 13 Competing against the Best Nearest Neighbor Filter in Regression
  15. Altmetric Badge
    Chapter 14 Lipschitz Bandits without the Lipschitz Constant
  16. Altmetric Badge
    Chapter 15 Deviations of Stochastic Bandit Regret
  17. Altmetric Badge
    Chapter 16 On Upper-Confidence Bound Policies for Switching Bandit Problems
  18. Altmetric Badge
    Chapter 17 Upper-Confidence-Bound Algorithms for Active Learning in Multi-armed Bandits
  19. Altmetric Badge
    Chapter 18 The Perceptron with Dynamic Margin
  20. Altmetric Badge
    Chapter 19 Combining Initial Segments of Lists
  21. Altmetric Badge
    Chapter 20 Algorithmic Learning Theory
  22. Altmetric Badge
    Chapter 21 Making Online Decisions with Bounded Memory
  23. Altmetric Badge
    Chapter 22 Universal Prediction of Selected Bits
  24. Altmetric Badge
    Chapter 23 Semantic Communication for Simple Goals Is Equivalent to On-line Learning
  25. Altmetric Badge
    Chapter 24 Accelerated Training of Max-Margin Markov Networks with Kernels
  26. Altmetric Badge
    Chapter 25 Domain Adaptation in Regression
  27. Altmetric Badge
    Chapter 26 Approximate Reduction from AUC Maximization to 1-Norm Soft Margin Optimization
  28. Altmetric Badge
    Chapter 27 Axioms for Rational Reinforcement Learning
  29. Altmetric Badge
    Chapter 28 Universal Knowledge-Seeking Agents
  30. Altmetric Badge
    Chapter 29 Asymptotically Optimal Agents
  31. Altmetric Badge
    Chapter 30 Time Consistent Discounting
  32. Altmetric Badge
    Chapter 31 Distributional Learning of Simple Context-Free Tree Grammars
  33. Altmetric Badge
    Chapter 32 On Noise-Tolerant Learning of Sparse Parities and Related Problems
  34. Altmetric Badge
    Chapter 33 Supervised Learning and Co-training
  35. Altmetric Badge
    Chapter 34 Learning a Classifier when the Labeling Is Known
  36. Altmetric Badge
    Chapter 35 Erratum: Learning without Coding
Attention for Chapter 28: Universal Knowledge-Seeking Agents
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Summary X
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Chapter title
Universal Knowledge-Seeking Agents
Chapter number 28
Book title
Algorithmic Learning Theory
Published in
Lecture notes in computer science, January 2011
DOI 10.1007/978-3-642-24412-4_28
Book ISBNs
978-3-64-224411-7, 978-3-64-224412-4
Authors

Laurent Orseau, Orseau, Laurent

View on publisher site
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 11 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 9%
Unknown 10 91%

Demographic breakdown

Readers by professional status Count As %
Other 1 9%
Student > Postgraduate 1 9%
Student > Master 1 9%
Unknown 8 73%
Readers by discipline Count As %
Mathematics 1 9%
Computer Science 1 9%
Engineering 1 9%
Unknown 8 73%
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 22 April 2013.
All research outputs
#20,959,834
of 25,743,152 outputs
Outputs from Lecture notes in computer science
#6,073
of 8,173 outputs
Outputs of similar age
#172,750
of 192,457 outputs
Outputs of similar age from Lecture notes in computer science
#229
of 316 outputs
Altmetric has tracked 25,743,152 research outputs across all sources so far. This one is in the 10th percentile – i.e., 10% of other outputs scored the same or lower than it.
So far Altmetric has tracked 8,173 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.2. 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 316 others from the same source and published within six weeks on either side of this one. This one is in the 12th percentile – i.e., 12% of its contemporaries scored the same or lower than it.

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