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Advances in Machine Learning

Overview of attention for book
Cover of 'Advances in Machine Learning'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 Machine Learning and Ecosystem Informatics: Challenges and Opportunities
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    Chapter 2 Density Ratio Estimation: A New Versatile Tool for Machine Learning
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    Chapter 3 Transfer Learning beyond Text Classification
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    Chapter 4 Improving Adaptive Bagging Methods for Evolving Data Streams
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    Chapter 5 Advances in Machine Learning
  7. Altmetric Badge
    Chapter 6 Estimating Likelihoods for Topic Models
  8. Altmetric Badge
    Chapter 7 Advances in Machine Learning
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    Chapter 8 Linear Time Model Selection for Mixture of Heterogeneous Components
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    Chapter 9 Max-margin Multiple-Instance Learning via Semidefinite Programming
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    Chapter 10 A Reformulation of Support Vector Machines for General Confidence Functions
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    Chapter 11 Robust Discriminant Analysis Based on Nonparametric Maximum Entropy
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    Chapter 12 Context-Aware Online Commercial Intention Detection
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    Chapter 13 Feature Selection via Maximizing Neighborhood Soft Margin
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    Chapter 14 Accurate Probabilistic Error Bound for Eigenvalues of Kernel Matrix
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    Chapter 15 Community Detection on Weighted Networks: A Variational Bayesian Method
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    Chapter 16 Averaged Naive Bayes Trees: A New Extension of AODE
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    Chapter 17 Automatic Choice of Control Measurements
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    Chapter 18 Coupled Metric Learning for Face Recognition with Degraded Images
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    Chapter 19 Cost-Sensitive Boosting: Fitting an Additive Asymmetric Logistic Regression Model
  21. Altmetric Badge
    Chapter 20 On Compressibility and Acceleration of Orthogonal NMF for POMDP Compression
  22. Altmetric Badge
    Chapter 21 Building a Decision Cluster Forest Model to Classify High Dimensional Data with Multi-classes
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    Chapter 22 Query Selection via Weighted Entropy in Graph-Based Semi-supervised Classification
  24. Altmetric Badge
    Chapter 23 Learning Algorithms for Domain Adaptation
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    Chapter 24 Mining Multi-label Concept-Drifting Data Streams Using Dynamic Classifier Ensemble
  26. Altmetric Badge
    Chapter 25 Learning Continuous-Time Information Diffusion Model for Social Behavioral Data Analysis
  27. Altmetric Badge
    Chapter 26 Privacy-Preserving Evaluation of Generalization Error and Its Application to Model and Attribute Selection
  28. Altmetric Badge
    Chapter 27 Coping with Distribution Change in the Same Domain Using Similarity-Based Instance Weighting
  29. Altmetric Badge
    Chapter 28 Monte-Carlo Tree Search in Poker Using Expected Reward Distributions
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    Chapter 29 Injecting Structured Data to Generative Topic Model in Enterprise Settings
  31. Altmetric Badge
    Chapter 30 Weighted Nonnegative Matrix Co-Tri-Factorization for Collaborative Prediction
Attention for Chapter 28: Monte-Carlo Tree Search in Poker Using Expected Reward Distributions
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Chapter title
Monte-Carlo Tree Search in Poker Using Expected Reward Distributions
Chapter number 28
Book title
Advances in Machine Learning
Published in
ADS, November 2009
DOI 10.1007/978-3-642-05224-8_28
Book ISBNs
978-3-64-205223-1, 978-3-64-205224-8
Authors

Guy Van den Broeck, Kurt Driessens, Jan Ramon, Broeck, Guy, Driessens, Kurt, Ramon, Jan, Broeck, Guy Van den, Van den Broeck, Guy

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 84 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 5 6%
Germany 1 1%
Czechia 1 1%
Belgium 1 1%
China 1 1%
Greece 1 1%
United States 1 1%
Unknown 73 87%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 27 32%
Student > Master 16 19%
Student > Bachelor 11 13%
Researcher 10 12%
Student > Postgraduate 8 10%
Other 9 11%
Unknown 3 4%
Readers by discipline Count As %
Computer Science 58 69%
Engineering 7 8%
Mathematics 3 4%
Business, Management and Accounting 2 2%
Environmental Science 2 2%
Other 5 6%
Unknown 7 8%
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 01 October 2021.
All research outputs
#18,603,172
of 23,043,346 outputs
Outputs from ADS
#31,583
of 37,452 outputs
Outputs of similar age
#86,869
of 95,056 outputs
Outputs of similar age from ADS
#272
of 296 outputs
Altmetric has tracked 23,043,346 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 37,452 research outputs from this source. They receive a mean Attention Score of 4.6. This one is in the 8th percentile – i.e., 8% of its peers scored the same or lower than it.
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 95,056 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 4th percentile – i.e., 4% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 296 others from the same source and published within six weeks on either side of this one. This one is in the 5th percentile – i.e., 5% of its contemporaries scored the same or lower than it.