Название: Advances in Artificial Intelligence Автор: Francisco Herrera, Sergio Damas Издательство: Springer ISBN: 3030003736 Год: 2018 Страниц: 411 Язык: английский Формат: True PDF Размер: 25.45 MB
This book constitutes the refereed proceedings of the 18th Conference of the Spanish Association for Artificial Intelligence, CAEPIA 2018, held in Granada, Spain, in October 2018. The 36 full papers presented were carefully selected from 240 submissions. The Conference of the Spanish Association of Artificial Intelligence (CAEPIA) is a biennial forum open to researchers from all over the world to present and discuss their latest scientific and technological advances in Antificial Intelligence (AI). Authors are kindly requested to submit unpublished original papers describing relevant research on AI issues from all points of view: formal, methodological, technical or applied.
Neighbor Selection for Cold Users in Collaborative Filtering with Positive-Only Feedback Crowd Learning with Candidate Labeling: An EM-Based Solution Comparing Deep Recurrent Networks Based on the MAE Random Sampling, a First Approach PMSC-UGR: A Test Collection for Expert Recommendation Based on PubMed and Scopus Bayesian Optimization of the PC Algorithm for Learning Gaussian Bayesian Networks Identifying the Machine Learning Family from Black-Box Models Participatory Design with On-line Focus Groups and Normative Systems Measuring Diversity and Accuracy in ANN Ensembles Measuring the Quality of Machine Learning and Optimization Frameworks ... Equivalence Relations on Fuzzy Subgroups A PageRank-Based Method to Extract Fuzzy Expressions as Features in Supervised Classification Problems Fuzzy Information and Contexts for Designing Automatic Decision-Making Systems An Empirical Validation of a New Memetic CRO Algorithm for the Approximation of Time Series Reduction of the Size of Datasets by Using Evolutionary Feature Selection: The Case of Noise in a Modern City Modeling the Navigation on Enrolment Web Information Area of a University Using Machine Learning Techniques An Intelligent Advisor for City Traffic Policies
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