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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 A Cascaded Supervised Learning Approach to Inverse Reinforcement Learning
  3. Altmetric Badge
    Chapter 2 Learning from Demonstrations: Is It Worth Estimating a Reward Function?
  4. Altmetric Badge
    Chapter 3 Recognition of Agents Based on Observation of Their Sequential Behavior
  5. Altmetric Badge
    Chapter 4 Learning Throttle Valve Control Using Policy Search
  6. Altmetric Badge
    Chapter 5 Model-Selection for Non-parametric Function Approximation in Continuous Control Problems: A Case Study in a Smart Energy System
  7. Altmetric Badge
    Chapter 6 Learning Graph-Based Representations for Continuous Reinforcement Learning Domains
  8. Altmetric Badge
    Chapter 7 Regret Bounds for Reinforcement Learning with Policy Advice
  9. Altmetric Badge
    Chapter 8 Exploiting Multi-step Sample Trajectories for Approximate Value Iteration
  10. Altmetric Badge
    Chapter 9 Expectation Maximization for Average Reward Decentralized POMDPs
  11. Altmetric Badge
    Chapter 10 Properly Acting under Partial Observability with Action Feasibility Constraints
  12. Altmetric Badge
    Chapter 11 Iterative Model Refinement of Recommender MDPs Based on Expert Feedback
  13. Altmetric Badge
    Chapter 12 Solving Relational MDPs with Exogenous Events and Additive Rewards
  14. Altmetric Badge
    Chapter 13 Continuous Upper Confidence Trees with Polynomial Exploration – Consistency
  15. Altmetric Badge
    Chapter 14 A Lipschitz Exploration-Exploitation Scheme for Bayesian Optimization
  16. Altmetric Badge
    Chapter 15 Parallel Gaussian Process Optimization with Upper Confidence Bound and Pure Exploration
  17. Altmetric Badge
    Chapter 16 Greedy Confidence Pursuit: A Pragmatic Approach to Multi-bandit Optimization
  18. Altmetric Badge
    Chapter 17 A Time and Space Efficient Algorithm for Contextual Linear Bandits
  19. Altmetric Badge
    Chapter 18 Knowledge Transfer for Multi-labeler Active Learning
  20. Altmetric Badge
    Chapter 19 Spectral Learning of Sequence Taggers over Continuous Sequences
  21. Altmetric Badge
    Chapter 20 Fast Variational Bayesian Linear State-Space Model
  22. Altmetric Badge
    Chapter 21 Machine Learning and Knowledge Discovery in Databases
  23. Altmetric Badge
    Chapter 22 Explaining Interval Sequences by Randomization
  24. Altmetric Badge
    Chapter 23 Itemset Based Sequence Classification
  25. Altmetric Badge
    Chapter 24 A Relevance Criterion for Sequential Patterns
  26. Altmetric Badge
    Chapter 25 A Fast and Simple Method for Mining Subsequences with Surprising Event Counts
  27. Altmetric Badge
    Chapter 26 Relevant Subsequence Detection with Sparse Dictionary Learning
  28. Altmetric Badge
    Chapter 27 Future Locations Prediction with Uncertain Data
  29. Altmetric Badge
    Chapter 28 Modeling Short-Term Energy Load with Continuous Conditional Random Fields
  30. Altmetric Badge
    Chapter 29 Fault Tolerant Regression for Sensor Data
  31. Altmetric Badge
    Chapter 30 Pitfalls in Benchmarking Data Stream Classification and How to Avoid Them
  32. Altmetric Badge
    Chapter 31 Adaptive Model Rules from Data Streams
  33. Altmetric Badge
    Chapter 32 Fast and Exact Mining of Probabilistic Data Streams
  34. Altmetric Badge
    Chapter 33 Detecting Bicliques in GF[q]
  35. Altmetric Badge
    Chapter 34 As Strong as the Weakest Link:Mining Diverse Cliques in Weighted Graphs
  36. Altmetric Badge
    Chapter 35 How Robust Is the Core of a Network?
  37. Altmetric Badge
    Chapter 36 Community Distribution Outlier Detection in Heterogeneous Information Networks
  38. Altmetric Badge
    Chapter 37 Protein Function Prediction Using Dependence Maximization
  39. Altmetric Badge
    Chapter 38 Improving Relational Classification Using Link Prediction Techniques
  40. Altmetric Badge
    Chapter 39 A Fast Approximation of the Weisfeiler-Lehman Graph Kernel for RDF Data
  41. Altmetric Badge
    Chapter 40 Efficient Frequent Connected Induced Subgraph Mining in Graphs of Bounded Tree-Width
  42. Altmetric Badge
    Chapter 41 Continuous Similarity Computation over Streaming Graphs
  43. Altmetric Badge
    Chapter 42 Trend Mining in Dynamic Attributed Graphs
  44. Altmetric Badge
    Chapter 43 Sparse Relational Topic Models for Document Networks
Attention for Chapter 15: Parallel Gaussian Process Optimization with Upper Confidence Bound and Pure Exploration
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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 (83rd percentile)
  • High Attention Score compared to outputs of the same age and source (95th percentile)

Mentioned by

blogs
1 blog
twitter
3 X users

Citations

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5 Dimensions

Readers on

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74 Mendeley
Summary Blogs X Dimensions citations
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Chapter title
Parallel Gaussian Process Optimization with Upper Confidence Bound and Pure Exploration
Chapter number 15
Book title
Machine Learning and Knowledge Discovery in Databases
Published in
arXiv, September 2013
DOI 10.1007/978-3-642-40988-2_15
Book ISBNs
978-3-64-240987-5, 978-3-64-240988-2
Authors

Emile Contal, David Buffoni, Alexandre Robicquet, Nicolas Vayatis, Contal, Emile, Buffoni, David, Robicquet, Alexandre, Vayatis, Nicolas

View on publisher site
X Demographics

X Demographics

The data shown below were collected from the profiles of 3 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 74 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 1 1%
Canada 1 1%
Unknown 72 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 36 49%
Researcher 9 12%
Student > Bachelor 5 7%
Other 5 7%
Student > Master 5 7%
Other 8 11%
Unknown 6 8%
Readers by discipline Count As %
Computer Science 35 47%
Engineering 9 12%
Agricultural and Biological Sciences 4 5%
Mathematics 3 4%
Neuroscience 3 4%
Other 11 15%
Unknown 9 12%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 9. 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 25 August 2018.
All research outputs
#3,718,011
of 22,707,247 outputs
Outputs from arXiv
#71,527
of 930,902 outputs
Outputs of similar age
#33,881
of 202,745 outputs
Outputs of similar age from arXiv
#415
of 9,076 outputs
Altmetric has tracked 22,707,247 research outputs across all sources so far. Compared to these this one has done well and is in the 83rd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 930,902 research outputs from this source. They receive a mean Attention Score of 3.9. This one has done particularly well, scoring higher than 92% 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 202,745 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 83% of its contemporaries.
We're also able to compare this research output to 9,076 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 95% of its contemporaries.

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