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Advances in Artificial Intelligence

Overview of attention for book
Advances in Artificial Intelligence
Springer International Publishing

Table of Contents

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    Book Overview
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    Chapter 1 Neighbor Selection for Cold Users in Collaborative Filtering with Positive-Only Feedback
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    Chapter 2 Crowd Learning with Candidate Labeling: An EM-Based Solution
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    Chapter 3 Comparing Deep Recurrent Networks Based on the MAE Random Sampling, a First Approach
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    Chapter 4 PMSC-UGR: A Test Collection for Expert Recommendation Based on PubMed and Scopus
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    Chapter 5 Bayesian Optimization of the PC Algorithm for Learning Gaussian Bayesian Networks
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    Chapter 6 Identifying the Machine Learning Family from Black-Box Models
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    Chapter 7 Participatory Design with On-line Focus Groups and Normative Systems
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    Chapter 8 Evaluation in Learning from Label Proportions: An Approximation to the Precision-Recall Curve
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    Chapter 9 Time Series Decomposition for Improving the Forecasting Performance of Convolutional Neural Networks
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    Chapter 10 Asymmetric Hidden Markov Models with Continuous Variables
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    Chapter 11 Measuring Diversity and Accuracy in ANN Ensembles
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    Chapter 12 Adapting Hierarchical Multiclass Classification to Changes in the Target Concept
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    Chapter 13 Measuring the Quality of Machine Learning and Optimization Frameworks
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    Chapter 14 Equivalence Relations on Fuzzy Subgroups
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    Chapter 15 A PageRank-Based Method to Extract Fuzzy Expressions as Features in Supervised Classification Problems
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    Chapter 16 A Universal Decision Making Model for Restructuring Networks Based on Markov Random Fields
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    Chapter 17 Fuzzy Information and Contexts for Designing Automatic Decision-Making Systems
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    Chapter 18 Distance-Based Exponential Probability Models for Constrained Combinatorial Problems
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    Chapter 19 Studying Solutions of the p-Median Problem for the Location of Public Bike Stations
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    Chapter 20 An Empirical Validation of a New Memetic CRO Algorithm for the Approximation of Time Series
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    Chapter 21 An Improvement Study of the Decomposition-Based Algorithm Global WASF-GA for Evolutionary Multiobjective Optimization
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    Chapter 22 Reduction of the Size of Datasets by Using Evolutionary Feature Selection: The Case of Noise in a Modern City
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    Chapter 23 Pruning Dominated Policies in Multiobjective Pareto Q-Learning
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    Chapter 24 Running Genetic Algorithms in the Edge: A First Analysis
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    Chapter 25 Developing Genetic Algorithms Using Different MapReduce Frameworks: MPI vs. Hadoop
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    Chapter 26 Strain Design as Multiobjective Network Interdiction Problem: A Preliminary Approach
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    Chapter 27 Risk Factors for Development of Antibiotic Resistance of Enterococcus Faecium to Vancomycin. A Subgroup Discovery Approach
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    Chapter 28 Intelligent Management of Measurement Units Equivalences in Food Databases
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    Chapter 29 Modeling the Navigation on Enrolment Web Information Area of a University Using Machine Learning Techniques
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    Chapter 30 A GRASP Algorithm to Optimize Operational Costs and Regularity of Production in Mixed-Model Sequencing Problems with Forced Interruption of Operations
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    Chapter 31 A Software Tool for Categorizing Violin Student Renditions by Comparison
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    Chapter 32 Background Modeling for Video Sequences by Stacked Denoising Autoencoders
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    Chapter 33 GraphDL: An Ontology for Linked Data Visualization
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    Chapter 34 A First Step to Accelerating Fingerprint Matching Based on Deformable Minutiae Clustering
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    Chapter 35 Learning Planning Action Models with Numerical Information and Logic Relationships Using Classification Techniques
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    Chapter 36 An Intelligent Advisor for City Traffic Policies
Attention for Chapter 5: Bayesian Optimization of the PC Algorithm for Learning Gaussian Bayesian Networks
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Citations

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Chapter title
Bayesian Optimization of the PC Algorithm for Learning Gaussian Bayesian Networks
Chapter number 5
Book title
Advances in Artificial Intelligence
Published by
Springer, Cham, September 2018
DOI 10.1007/978-3-030-00374-6_5
Book ISBNs
978-3-03-000373-9, 978-3-03-000374-6
Authors

Irene Córdoba, Eduardo C. Garrido-Merchán, Daniel Hernández-Lobato, Concha Bielza, Pedro Larrañaga, Córdoba, Irene, Garrido-Merchán, Eduardo C., Hernández-Lobato, Daniel, Bielza, Concha, Larrañaga, Pedro

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 9 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 9 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 2 22%
Professor 2 22%
Other 1 11%
Student > Doctoral Student 1 11%
Student > Master 1 11%
Other 1 11%
Unknown 1 11%
Readers by discipline Count As %
Computer Science 3 33%
Mathematics 2 22%
Decision Sciences 1 11%
Social Sciences 1 11%
Unknown 2 22%

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