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Machine Learning: ECML 2003

Overview of attention for book
Cover of 'Machine Learning: ECML 2003'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 From Knowledge-Based to Skill-Based Systems: Sailing as a Machine Learning Challenge
  3. Altmetric Badge
    Chapter 2 Two-Eyed Algorithms and Problems
  4. Altmetric Badge
    Chapter 3 Next Generation Data Mining Tools: Power Laws and Self-similarity for Graphs, Streams and Traditional Data
  5. Altmetric Badge
    Chapter 4 Taking Causality Seriously: Propensity Score Methodology Applied to Estimate the Effects of Marketing Interventions
  6. Altmetric Badge
    Chapter 5 Support Vector Machines with Example Dependent Costs
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    Chapter 6 Abalearn: A Risk-Sensitive Approach to Self-play Learning in Abalone
  8. Altmetric Badge
    Chapter 7 Life Cycle Modeling of News Events Using Aging Theory
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    Chapter 8 Unambiguous Automata Inference by Means of State-Merging Methods
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    Chapter 9 Could Active Perception Aid Navigation of Partially Observable Grid Worlds?
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    Chapter 10 Combined Optimization of Feature Selection and Algorithm Parameters in Machine Learning of Language
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    Chapter 11 Iteratively Extending Time Horizon Reinforcement Learning
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    Chapter 12 Volume under the ROC Surface for Multi-class Problems
  14. Altmetric Badge
    Chapter 13 Improving the AUC of Probabilistic Estimation Trees
  15. Altmetric Badge
    Chapter 14 Scaled CGEM: A Fast Accelerated EM
  16. Altmetric Badge
    Chapter 15 Pairwise Preference Learning and Ranking
  17. Altmetric Badge
    Chapter 16 A New Way to Introduce Knowledge into Reinforcement Learning
  18. Altmetric Badge
    Chapter 17 Improvement of the State Merging Rule on Noisy Data in Probabilistic Grammatical Inference
  19. Altmetric Badge
    Chapter 18 COllective INtelligence with Sequences of Actions
  20. Altmetric Badge
    Chapter 19 Rademacher Penalization over Decision Tree Prunings
  21. Altmetric Badge
    Chapter 20 Learning Rules to Improve a Machine Translation System
  22. Altmetric Badge
    Chapter 21 Optimising Performance of Competing Search Engines in Heterogeneous Web Environments
  23. Altmetric Badge
    Chapter 22 Robust k -DNF Learning via Inductive Belief Merging
  24. Altmetric Badge
    Chapter 23 Logistic Model Trees
  25. Altmetric Badge
    Chapter 24 Color Image Segmentation: Kernel Do the Feature Space
  26. Altmetric Badge
    Chapter 25 Evaluation of Topographic Clustering and Its Kernelization
  27. Altmetric Badge
    Chapter 26 A New Pairwise Ensemble Approach for Text Classification
  28. Altmetric Badge
    Chapter 27 Self-evaluated Learning Agent in Multiple State Games
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    Chapter 28 Classification Approach towards Ranking and Sorting Problems
  30. Altmetric Badge
    Chapter 29 Using MDP Characteristics to Guide Exploration in Reinforcement Learning
  31. Altmetric Badge
    Chapter 30 Experiments with Cost-Sensitive Feature Evaluation
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    Chapter 31 A Markov Network Based Factorized Distribution Algorithm for Optimization
  33. Altmetric Badge
    Chapter 32 On Boosting Improvement: Error Reduction and Convergence Speed-Up
  34. Altmetric Badge
    Chapter 33 Improving SVM Text Classification Performance through Threshold Adjustment
  35. Altmetric Badge
    Chapter 34 Backoff Parameter Estimation for the DOP Model
  36. Altmetric Badge
    Chapter 35 Improving Numerical Prediction with Qualitative Constraints
  37. Altmetric Badge
    Chapter 36 A Generative Model for Semantic Role Labeling
  38. Altmetric Badge
    Chapter 37 Optimizing Local Probability Models for Statistical Parsing
  39. Altmetric Badge
    Chapter 38 Extended Replicator Dynamics as a Key to Reinforcement Learning in Multi-agent Systems
  40. Altmetric Badge
    Chapter 39 Visualizations for Assessing Convergence and Mixing of MCMC
  41. Altmetric Badge
    Chapter 40 A Decomposition of Classes via Clustering to Explain and Improve Naive Bayes
  42. Altmetric Badge
    Chapter 41 Improving Rocchio with Weakly Supervised Clustering
  43. Altmetric Badge
    Chapter 42 A Two-Level Learning Method for Generalized Multi-instance Problems
  44. Altmetric Badge
    Chapter 43 Clustering in Knowledge Embedded Space
  45. Altmetric Badge
    Chapter 44 Ensembles of Multi-instance Learners
Attention for Chapter 39: Visualizations for Assessing Convergence and Mixing of MCMC
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (89th percentile)
  • Good Attention Score compared to outputs of the same age and source (71st percentile)

Mentioned by

blogs
1 blog

Citations

dimensions_citation
7 Dimensions

Readers on

mendeley
39 Mendeley
Summary Blogs Dimensions citations
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Chapter title
Visualizations for Assessing Convergence and Mixing of MCMC
Chapter number 39
Book title
Machine Learning: ECML 2003
Published in
Lecture notes in computer science, January 2003
DOI 10.1007/10955628_39
Book ISBNs
978-3-54-020121-2, 978-3-54-039857-8
Authors

Jarkko Venna, Samuel Kaski, Jaakko Peltonen, Venna, Jarkko, Kaski, Samuel, Peltonen, Jaakko

View on publisher site
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 39 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 5 13%
United States 3 8%
Indonesia 1 3%
Norway 1 3%
India 1 3%
Germany 1 3%
Spain 1 3%
Brazil 1 3%
Unknown 25 64%

Demographic breakdown

Readers by professional status Count As %
Researcher 13 33%
Student > Ph. D. Student 8 21%
Professor > Associate Professor 5 13%
Student > Master 5 13%
Student > Doctoral Student 2 5%
Other 4 10%
Unknown 2 5%
Readers by discipline Count As %
Agricultural and Biological Sciences 13 33%
Mathematics 6 15%
Computer Science 6 15%
Engineering 5 13%
Medicine and Dentistry 2 5%
Other 5 13%
Unknown 2 5%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 7. 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 09 April 2009.
All research outputs
#4,553,902
of 22,705,019 outputs
Outputs from Lecture notes in computer science
#1,509
of 8,124 outputs
Outputs of similar age
#14,104
of 128,959 outputs
Outputs of similar age from Lecture notes in computer science
#26
of 90 outputs
Altmetric has tracked 22,705,019 research outputs across all sources so far. Compared to these this one has done well and is in the 79th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 8,124 research outputs from this source. They receive a mean Attention Score of 5.0. This one has done well, scoring higher than 81% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 128,959 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 89% of its contemporaries.
We're also able to compare this research output to 90 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 71% of its contemporaries.

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