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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
  5. Altmetric Badge
    Chapter 4 Improving Adaptive Bagging Methods for Evolving Data Streams
  6. Altmetric Badge
    Chapter 5 Advances in Machine Learning
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    Chapter 6 Estimating Likelihoods for Topic Models
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    Chapter 7 Advances in Machine Learning
  9. Altmetric Badge
    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
  18. Altmetric Badge
    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
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    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
  25. Altmetric Badge
    Chapter 24 Mining Multi-label Concept-Drifting Data Streams Using Dynamic Classifier Ensemble
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    Chapter 25 Learning Continuous-Time Information Diffusion Model for Social Behavioral Data Analysis
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    Chapter 26 Privacy-Preserving Evaluation of Generalization Error and Its Application to Model and Attribute Selection
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    Chapter 27 Coping with Distribution Change in the Same Domain Using Similarity-Based Instance Weighting
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    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
Overall attention for this book and its chapters
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (66th percentile)
  • Good Attention Score compared to outputs of the same age and source (76th percentile)

Mentioned by

twitter
2 X users
patent
1 patent

Citations

dimensions_citation
3 Dimensions

Readers on

mendeley
48 Mendeley
Summary X Patents Dimensions citations
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.
Title
Advances in Machine Learning
Published by
ADS, November 2009
DOI 10.1007/978-3-642-05224-8
ISBNs
978-3-64-205223-1, 978-3-64-205224-8
Editors

Zhou, Zhi-Hua, Washio, Takashi

View on publisher site
X Demographics

X Demographics

The data shown below were collected from the profiles of 2 X users 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 48 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Colombia 2 4%
Brazil 1 2%
Poland 1 2%
Unknown 44 92%

Demographic breakdown

Readers by professional status Count As %
Student > Master 13 27%
Student > Ph. D. Student 8 17%
Researcher 5 10%
Student > Bachelor 4 8%
Student > Doctoral Student 3 6%
Other 3 6%
Unknown 12 25%
Readers by discipline Count As %
Computer Science 15 31%
Engineering 8 17%
Business, Management and Accounting 3 6%
Agricultural and Biological Sciences 3 6%
Mathematics 2 4%
Other 5 10%
Unknown 12 25%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 23 March 2023.
All research outputs
#6,673,805
of 23,572,509 outputs
Outputs from ADS
#8,280
of 38,201 outputs
Outputs of similar age
#30,109
of 96,153 outputs
Outputs of similar age from ADS
#62
of 304 outputs
Altmetric has tracked 23,572,509 research outputs across all sources so far. This one has received more attention than most of these and is in the 70th percentile.
So far Altmetric has tracked 38,201 research outputs from this source. They receive a mean Attention Score of 4.6. This one has done well, scoring higher than 76% 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 96,153 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 66% of its contemporaries.
We're also able to compare this research output to 304 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 76% of its contemporaries.

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