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Machine Learning and Knowledge Discovery in Databases

Overview of attention for book
Cover of 'Machine Learning and Knowledge Discovery in Databases'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 Data Split Strategiesfor Evolving Predictive Models
  3. Altmetric Badge
    Chapter 2 Discriminative Interpolation for Classification of Functional Data
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    Chapter 3 Fast Label Embeddings via Randomized Linear Algebra
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    Chapter 4 Maximum Entropy Linear Manifold for Learning Discriminative Low-Dimensional Representation
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    Chapter 5 Novel Decompositions of Proper Scoring Rules for Classification: Score Adjustment as Precursor to Calibration
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    Chapter 6 Parameter Learning of Bayesian Network Classifiers Under Computational Constraints
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    Chapter 7 Predicting Unseen Labels Using Label Hierarchies in Large-Scale Multi-label Learning
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    Chapter 8 Regression with Linear Factored Functions
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    Chapter 9 Ridge Regression, Hubness, and Zero-Shot Learning
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    Chapter 10 Solving Prediction Games with Parallel Batch Gradient Descent
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    Chapter 11 Structured Regularizer for Neural Higher-Order Sequence Models
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    Chapter 12 Versatile Decision Trees for Learning Over Multiple Contexts
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    Chapter 13 When is Undersampling Effective in Unbalanced Classification Tasks?
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    Chapter 14 A Kernel-Learning Approach to Semi-supervised Clustering with Relative Distance Comparisons
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    Chapter 15 Bayesian Active Clustering with Pairwise Constraints
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    Chapter 16 ConDist: A Context-Driven Categorical Distance Measure
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    Chapter 17 Discovering Opinion Spammer Groups by Network Footprints
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    Chapter 18 Gamma Process Poisson Factorization for Joint Modeling of Network and Documents
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    Chapter 19 Generalization in Unsupervised Learning
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    Chapter 20 Multiple Incomplete Views Clustering via Weighted Nonnegative Matrix Factorization with $$L_{2,1}$$ Regularization
  22. Altmetric Badge
    Chapter 21 Solving a Hard Cutting Stock Problem by Machine Learning and Optimisation
  23. Altmetric Badge
    Chapter 22 Machine Learning and Knowledge Discovery in Databases
  24. Altmetric Badge
    Chapter 23 Multi-view Semantic Learning for Data Representation
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    Chapter 24 Unsupervised Feature Analysis with Class Margin Optimization
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    Chapter 25 Ageing-Based Multinomial Naive Bayes Classifiers Over Opinionated Data Streams
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    Chapter 26 Drift Detection Using Stream Volatility
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    Chapter 27 Early Classification of Time Series as a Non Myopic Sequential Decision Making Problem
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    Chapter 28 Ising Bandits with Side Information
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    Chapter 29 Refined Algorithms for Infinitely Many-Armed Bandits with Deterministic Rewards
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    Chapter 30 An Empirical Investigation of Minimum Probability Flow Learning Under Different Connectivity Patterns
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    Chapter 31 Difference Target Propagation
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    Chapter 32 Online Learning of Deep Hybrid Architectures for Semi-supervised Categorization
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    Chapter 33 Scoring and Classifying with Gated Auto-Encoders
  35. Altmetric Badge
    Chapter 34 Sign Constrained Rectifier Networks with Applications to Pattern Decompositions
  36. Altmetric Badge
    Chapter 35 Aggregation Under Bias: Rényi Divergence Aggregation and Its Implementation via Machine Learning Markets
  37. Altmetric Badge
    Chapter 36 Higher Order Fused Regularization for Supervised Learning with Grouped Parameters
  38. Altmetric Badge
    Chapter 37 Joint Semi-supervised Similarity Learning for Linear Classification
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    Chapter 38 Learning Compact and Effective Distance Metrics with Diversity Regularization
  40. Altmetric Badge
    Chapter 39 Scalable Metric Learning for Co-Embedding
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    Chapter 40 Adaptive Stochastic Primal-Dual Coordinate Descent for Separable Saddle Point Problems
  42. Altmetric Badge
    Chapter 41 Hash Function Learning via Codewords
  43. Altmetric Badge
    Chapter 42 HierCost: Improving Large Scale Hierarchical Classification with Cost Sensitive Learning
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    Chapter 43 Large Scale Optimization with Proximal Stochastic Newton-Type Gradient Descent
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    Chapter 44 Erratum to: Bayesian Active Clustering with Pairwise Constraints
  46. Altmetric Badge
    Chapter 45 Erratum to: Scalable Metric Learning for Co-Embedding
  47. Altmetric Badge
    Chapter 46 Erratum to: Predicting Unseen Labels Using Label Hierarchies in Large-Scale Multi-label Learning
Attention for Chapter 40: Adaptive Stochastic Primal-Dual Coordinate Descent for Separable Saddle Point Problems
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (56th percentile)
  • Good Attention Score compared to outputs of the same age and source (76th percentile)

Mentioned by

patent
1 patent

Citations

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4 Dimensions

Readers on

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23 Mendeley
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Chapter title
Adaptive Stochastic Primal-Dual Coordinate Descent for Separable Saddle Point Problems
Chapter number 40
Book title
Machine Learning and Knowledge Discovery in Databases
Published in
Lecture notes in computer science, August 2015
DOI 10.1007/978-3-319-23528-8_40
Book ISBNs
978-3-31-923527-1, 978-3-31-923528-8
Authors

Zhu, Zhanxing, Storkey, Amos J., Zhanxing Zhu, Amos J. Storkey

Editors

Jorge, Alípio, Gama, João, Soares, Carlos, Santos Costa, Vítor, Rodrigues, Pedro Pereira, Appice, Annalisa

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 23 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
New Zealand 1 4%
United States 1 4%
Unknown 21 91%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 10 43%
Researcher 5 22%
Student > Bachelor 3 13%
Librarian 1 4%
Other 1 4%
Other 2 9%
Unknown 1 4%
Readers by discipline Count As %
Computer Science 14 61%
Business, Management and Accounting 4 17%
Mathematics 4 17%
Unknown 1 4%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 30 August 2022.
All research outputs
#7,610,011
of 23,202,641 outputs
Outputs from Lecture notes in computer science
#2,493
of 8,154 outputs
Outputs of similar age
#90,792
of 267,482 outputs
Outputs of similar age from Lecture notes in computer science
#47
of 231 outputs
Altmetric has tracked 23,202,641 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 8,154 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.0. This one has gotten more attention than average, scoring higher than 54% 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 267,482 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 56% of its contemporaries.
We're also able to compare this research output to 231 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.