Analysis of images, social networks and texts : 8th International Conference, AIST 2019, Kazan, Russia, July 17-19, 2019 revised selected papers /: 8th International Conference, AIST 2019, Kazan, Russia, July 17-19, 2019 revised selected papers. (2020)

• Record Type: Book
• Other Titles: AIST 2019
• Further Information: Note: Wil M.P. van der Aalst ... [and more] (eds.).
• Other Names: Aalst, Wil van der; AIST (Conference), 8th
• Contents: Intro -- Preface -- Organisation -- Contents -- General Topics of Data Analysis -- Optimizing Q-Learning with K-FAC Algorithm -- 1 Introduction -- 2 Background -- 2.1 Reinforcement Learning -- 2.2 Deep Q-Networks -- 2.3 Kronecker-Factored Approximate Curvature -- 3 Method -- 4 Current Status and Intermediate Results -- 5 Discussion -- References -- Evolutionary Algorithms for Constructing an Ensemble of Decision Trees -- 1 Introduction -- 2 Related Work -- 3 Proposed Approach -- 3.1 Real-Valued Vector Representation -- 3.2 Differential Evolution -- 3.3 Evolution Strategies 3.4 Construction of Ensembles -- 4 Experiment -- 5 Conclusion and Future Work -- References -- An Algorithm for Constructing a Topological Skeleton for Semi-structured Spatial Data Based on Persistent Homology -- 1 Introduction -- 2 Related Work -- 3 Methodology -- 3.1 Notation and Topological Features -- 3.2 Creating a Topological Skeleton -- 3.3 Comparison of Topological Skeletons -- 4 Results -- 5 Conclusion -- References -- Comparison of Machine Learning Algorithms in Restaurant Revenue Prediction -- 1 Introduction -- 2 Problem Statement -- 3 Methodology -- 3.1 Model Comparison Algorithm 3.2 Prediction Models -- 3.3 Accounting for Heterogeneity -- 4 Results -- 5 Conclusion -- References -- Online Augmentation for Quality Improvement of Neural Networks for Classification of Single-Channel Electrocardiograms -- 1 Introduction -- 2 The Library for Online Augmentation and Implemented Methods -- 2.1 One-Signal Transformers -- 2.2 Two-Signal Transformers -- 3 Signal Representation -- 4 Neural Network Architectures -- 5 Data for the Experiments -- 6 Experiments -- 7 Conclusion -- References -- Guided Layer-Wise Learning for Deep Models Using Side Information -- 1 Introduction 2 Diversifying Regularization Based on Side Information for Generative Models -- 2.1 Restricted Boltzmann Machines (RBMs) Using Side Information -- 2.2 Variational Autoencoders (VAEs) Using Side Information -- 3 Diversifying Regularization Based on Side Information for Discriminative Deep Models -- 4 Experimental Results and Discussion -- 5 Conclusions -- References -- Multi-instance Learning for Structure-Activity Modeling for Molecular Properties -- 1 Introduction -- 2 Modeling -- 2.1 Data -- 2.2 Feature Calculation -- 2.3 Methods -- 2.4 Validation -- 3 Results and Discussion 3.1 Influence of Number of Conformations -- 3.2 Comparison with Traditional QSAR -- 4 Conclusions -- References -- Cross-Efficiency of International Sanctions: Application of Data Envelopment Analysis and Network Methodology -- 1 Introduction -- 2 Data and Method -- 3 Model -- 4 Conclusion -- References -- Natural Language Processing -- Using Semantic Information for Coreference Resolution with Neural Networks in Russian -- 1 Introduction -- 2 Related Work -- 3 System Architecture -- 3.1 Mention-Pair Encoder -- 3.2 Mention Ranking Model -- 3.3 Training the Network -- 4 Feature Sets
• Publisher Details: Cham : Springer
• Publication Date: 2020
• Extent: 1 online resource
• Subjects: 006.3/12; Data mining -- Congresses; Image processing -- Digital techniques -- Congresses; Data mining; Image processing -- Digital techniques; Electronic books; Electronic books; Conference papers and proceedings
• Languages: English
• ISBNs: 9783030395759; 3030395758
• Related ISBNs: 303039574X; 9783030395742
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• Access Usage: Restricted: Printing from this resource is governed by The Legal Deposit Libraries (Non-Print Works) Regulations (UK) and UK copyright law currently in force.