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Machine Learning and Knowledge Discovery in Databases

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Cover of 'Machine Learning and Knowledge Discovery in Databases'

Table of Contents

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    Book Overview
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    Chapter 1 Deep Ordinal Reinforcement Learning
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    Chapter 2 Sample-Efficient Model-Free Reinforcement Learning with Off-Policy Critics
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    Chapter 3 Learning 3D Navigation Protocols on Touch Interfaces with Cooperative Multi-agent Reinforcement Learning
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    Chapter 4 Safe Policy Improvement with Soft Baseline Bootstrapping
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    Chapter 5 Practical Open-Loop Optimistic Planning
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    Chapter 6 An Engineered Empirical Bernstein Bound
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    Chapter 7 Stochastic Activation Actor Critic Methods
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    Chapter 8 Policy Prediction Network: Model-Free Behavior Policy with Model-Based Learning in Continuous Action Space
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    Chapter 9 Attentive Multi-task Deep Reinforcement Learning
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    Chapter 10 Stochastic One-Sided Full-Information Bandit
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    Chapter 11 BelMan: An Information-Geometric Approach to Stochastic Bandits
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    Chapter 12 A Ranking Model Motivated by Nonnegative Matrix Factorization with Applications to Tennis Tournaments
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    Chapter 13 A Reduction of Label Ranking to Multiclass Classification
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    Chapter 14 Learning to Calibrate and Rerank Multi-label Predictions
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    Chapter 15 Pairwise Learning to Rank by Neural Networks Revisited: Reconstruction, Theoretical Analysis and Practical Performance
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    Chapter 16 Sequential Learning over Implicit Feedback for Robust Large-Scale Recommender Systems
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    Chapter 17 Automatic Recognition of Student Engagement Using Deep Learning and Facial Expression
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    Chapter 18 Marine Mammal Species Classification Using Convolutional Neural Networks and a Novel Acoustic Representation
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    Chapter 19 Learning Disentangled Representations of Satellite Image Time Series
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    Chapter 20 Pushing the Limits of Exoplanet Discovery via Direct Imaging with Deep Learning
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    Chapter 21 J3R: Joint Multi-task Learning of Ratings and Review Summaries for Explainable Recommendation
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    Chapter 22 Augmenting Semantic Representation of Depressive Language: From Forums to Microblogs
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    Chapter 23 Augmenting Physiological Time Series Data: A Case Study for Sleep Apnea Detection
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    Chapter 24 Wearable-Based Parkinson’s Disease Severity Monitoring Using Deep Learning
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    Chapter 25 Investigating Time Series Classification Techniques for Rapid Pathogen Identification with Single-Cell MALDI-TOF Mass Spectrum Data
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    Chapter 26 CASTNet: Community-Attentive Spatio-Temporal Networks for Opioid Overdose Forecasting
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    Chapter 27 Scalable Bid Landscape Forecasting in Real-Time Bidding
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    Chapter 28 A Deep Multi-task Approach for Residual Value Forecasting
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    Chapter 29 Transfer Learning in Credit Risk
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    Chapter 30 Cold-Start Recommendation for On-Demand Cinemas
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    Chapter 31 Shallow Self-learning for Reject Inference in Credit Scoring
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    Chapter 32 LSTM Encoder-Predictor for Short-Term Train Load Forecasting
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    Chapter 33 Characterization and Early Detection of Evergreen News Articles
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    Chapter 34 Player Vectors: Characterizing Soccer Players’ Playing Style from Match Event Streams
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    Chapter 35 A Semi-supervised and Online Learning Approach for Non-Intrusive Load Monitoring
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    Chapter 36 Compact Representation of a Multi-dimensional Combustion Manifold Using Deep Neural Networks
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    Chapter 37 Generative Adversarial Networks for Failure Prediction
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    Chapter 38 Interpreting Atypical Conditions in Systems with Deep Conditional Autoencoders: The Case of Electrical Consumption
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    Chapter 39 Manufacturing Dispatching Using Reinforcement and Transfer Learning
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    Chapter 40 An Aggregate Learning Approach for Interpretable Semi-supervised Population Prediction and Disaggregation Using Ancillary Data
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    Chapter 41 Optimizing Neural Networks for Patent Classification
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    Chapter 42 The Search for Equations – Learning to Identify Similarities Between Mathematical Expressions
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    Chapter 43 Data-Driven Policy on Feasibility Determination for the Train Shunting Problem
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    Chapter 44 Automated Data Transformation with Inductive Programming and Dynamic Background Knowledge
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    Chapter 45 BK-ADAPT : Dynamic Background Knowledge for Automating Data Transformation
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    Chapter 46 A Tool for Researchers: Querying Big Scholarly Data Through Graph Databases
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    Chapter 47 OCADaMi: One-Class Anomaly Detection and Data Mining Toolbox
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    Chapter 48 MatrixCalculus.org – Computing Derivatives of Matrix and Tensor Expressions
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    Chapter 49 Towards a Predictive Patent Analytics and Evaluation Platform
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    Chapter 50 A Virtualized Video Surveillance System for Public Transportation
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    Chapter 51 Distributed Algorithms to Find Similar Time Series
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    Chapter 52 UnFOOT: Unsupervised Football Analytics Tool
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    Chapter 53 ISETS: Incremental Shapelet Extraction from Time Series Stream
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    Chapter 54 Industrial Event Log Analyzer - Self-service Data Mining for Domain Experts
Attention for Chapter 20: Pushing the Limits of Exoplanet Discovery via Direct Imaging with Deep Learning
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Chapter title
Pushing the Limits of Exoplanet Discovery via Direct Imaging with Deep Learning
Chapter number 20
Book title
Machine Learning and Knowledge Discovery in Databases
Published by
Springer, Cham, September 2019
DOI 10.1007/978-3-030-46133-1_20
Book ISBNs
978-3-03-046132-4, 978-3-03-046133-1
Authors

Kai Hou Yip, Nikolaos Nikolaou, Piero Coronica, Angelos Tsiaras, Billy Edwards, Quentin Changeat, Mario Morvan, Beth Biller, Sasha Hinkley, Jeffrey Salmond, Matthew Archer, Paul Sumption, Elodie Choquet, Remi Soummer, Laurent Pueyo, Ingo P. Waldmann, Yip, KH, Nikolaou, N, Coronica, P, Tsiaras, A, Edwards, B, Changeat, Q, Morvan, M, Biller, B, Hinkley, S, Salmond, J, Archer, M, Sumption, P, Choquet, E, Soummer, R, Pueyo, L, Waldmann, IP, Yip, Kai Hou, Nikolaou, Nikolaos, Coronica, Piero, Tsiaras, Angelos, Edwards, Billy, Changeat, Quentin, Morvan, Mario, Biller, Beth, Hinkley, Sasha, Salmond, Jeffrey, Archer, Matthew, Sumption, Paul, Choquet, Elodie, Soummer, Remi, Pueyo, Laurent, Waldmann, Ingo P.

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X Demographics

The data shown below were collected from the profile of 1 X user 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 30 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 30 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 7 23%
Researcher 5 17%
Student > Bachelor 3 10%
Student > Master 2 7%
Professor 1 3%
Other 0 0%
Unknown 12 40%
Readers by discipline Count As %
Physics and Astronomy 13 43%
Computer Science 2 7%
Earth and Planetary Sciences 1 3%
Social Sciences 1 3%
Engineering 1 3%
Other 0 0%
Unknown 12 40%