↓ Skip to main content

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 String Pattern Discovery
  3. Altmetric Badge
    Chapter 2 Applications of Regularized Least Squares to Classification Problems
  4. Altmetric Badge
    Chapter 3 Probabilistic Inductive Logic Programming
  5. Altmetric Badge
    Chapter 4 Hidden Markov Modelling Techniques for Haplotype Analysis
  6. Altmetric Badge
    Chapter 5 Learning, Logic, and Probability: A Unified View
  7. Altmetric Badge
    Chapter 6 Learning Languages from Positive Data and Negative Counterexamples
  8. Altmetric Badge
    Chapter 7 Inductive Inference of Term Rewriting Systems from Positive Data
  9. Altmetric Badge
    Chapter 8 On the Data Consumption Benefits of Accepting Increased Uncertainty
  10. Altmetric Badge
    Chapter 9 Comparison of Query Learning and Gold-Style Learning in Dependence of the Hypothesis Space
  11. Altmetric Badge
    Chapter 10 Learning r -of- k Functions by Boosting
  12. Altmetric Badge
    Chapter 11 Boosting Based on Divide and Merge
  13. Altmetric Badge
    Chapter 12 Learning Boolean Functions in AC 0 on Attribute and Classification Noise
  14. Altmetric Badge
    Chapter 13 Decision Trees: More Theoretical Justification for Practical Algorithms
  15. Altmetric Badge
    Chapter 14 Application of Classical Nonparametric Predictors to Learning Conditionally I.I.D. Data
  16. Altmetric Badge
    Chapter 15 Complexity of Pattern Classes and Lipschitz Property
  17. Altmetric Badge
    Chapter 16 On Kernels, Margins, and Low-Dimensional Mappings
  18. Altmetric Badge
    Chapter 17 Estimation of the Data Region Using Extreme-Value Distributions
  19. Altmetric Badge
    Chapter 18 Maximum Entropy Principle in Non-ordered Setting
  20. Altmetric Badge
    Chapter 19 Universal Convergence of Semimeasures on Individual Random Sequences
  21. Altmetric Badge
    Chapter 20 A Criterion for the Existence of Predictive Complexity for Binary Games
  22. Altmetric Badge
    Chapter 21 Full Information Game with Gains and Losses
  23. Altmetric Badge
    Chapter 22 Prediction with Expert Advice by Following the Perturbed Leader for General Weights
  24. Altmetric Badge
    Chapter 23 On the Convergence Speed of MDL Predictions for Bernoulli Sequences
  25. Altmetric Badge
    Chapter 24 Relative Loss Bounds and Polynomial-Time Predictions for the k-lms-net Algorithm
  26. Altmetric Badge
    Chapter 25 On the Complexity of Working Set Selection
  27. Altmetric Badge
    Chapter 26 Convergence of a Generalized Gradient Selection Approach for the Decomposition Method
  28. Altmetric Badge
    Chapter 27 Newton Diagram and Stochastic Complexity in Mixture of Binomial Distributions
  29. Altmetric Badge
    Chapter 28 Learnability of Relatively Quantified Generalized Formulas
  30. Altmetric Badge
    Chapter 29 Learning Languages Generated by Elementary Formal Systems and Its Application to SH Languages
  31. Altmetric Badge
    Chapter 30 New Revision Algorithms
  32. Altmetric Badge
    Chapter 31 The Subsumption Lattice and Query Learning
  33. Altmetric Badge
    Chapter 32 Learning of Ordered Tree Languages with Height-Bounded Variables Using Queries
  34. Altmetric Badge
    Chapter 33 Learning Tree Languages from Positive Examples and Membership Queries
  35. Altmetric Badge
    Chapter 34 Learning Content Sequencing in an Educational Environment According to Student Needs
  36. Altmetric Badge
    Chapter 35 Statistical Learning in Digital Wireless Communications
  37. Altmetric Badge
    Chapter 36 A BP-Based Algorithm for Performing Bayesian Inference in Large Perceptron-Type Networks
  38. Altmetric Badge
    Chapter 37 Approximate Inference in Probabilistic Models
Attention for Chapter 2: Applications of Regularized Least Squares to Classification Problems
Altmetric Badge

Citations

dimensions_citation
4 Dimensions

Readers on

mendeley
7 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Chapter title
Applications of Regularized Least Squares to Classification Problems
Chapter number 2
Book title
Algorithmic Learning Theory
Published by
Springer, Berlin, Heidelberg, October 2004
DOI 10.1007/978-3-540-30215-5_2
Book ISBNs
978-3-54-023356-5, 978-3-54-030215-5
Authors

Nicolò Cesa-Bianchi, Cesa-Bianchi, Nicolò

Mendeley readers

The data shown below were compiled from readership statistics for 7 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Czechia 1 14%
Unknown 6 86%

Demographic breakdown

Readers by professional status Count As %
Other 1 14%
Lecturer 1 14%
Student > Doctoral Student 1 14%
Student > Bachelor 1 14%
Professor 1 14%
Other 2 29%
Readers by discipline Count As %
Computer Science 5 71%
Mathematics 1 14%
Unknown 1 14%