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Solving Large Scale Learning Tasks. Challenges and Algorithms

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Cover of 'Solving Large Scale Learning Tasks. Challenges and Algorithms'

Table of Contents

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    Book Overview
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    Chapter 1 Online Social Networks Event Detection: A Survey
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    Chapter 2 Detecting Events in Online Social Networks: Definitions, Trends and Challenges
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    Chapter 3 Why Do We Need Data Privacy?
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    Chapter 4 Sharing Data with Guaranteed Privacy
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    Chapter 5 Distributed Support Vector Machines: An Overview
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    Chapter 6 Big Data Classification – Aspects on Many Features
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    Chapter 7 Knowledge Discovery from Complex High Dimensional Data
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    Chapter 8 Local Pattern Detection in Attributed Graphs
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    Chapter 9 Advances in Exploratory Pattern Analytics on Ubiquitous Data and Social Media
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    Chapter 10 Understanding Human Mobility with Big Data
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    Chapter 11 On Event Detection from Spatial Time Series for Urban Traffic Applications
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    Chapter 12 Compressible Reparametrization of Time-Variant Linear Dynamical Systems
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    Chapter 13 Detection of Local Intensity Changes in Grayscale Images with Robust Methods for Time-Series Analysis
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    Chapter 14 SCHEP — A Geometric Quality Measure for Regression Rule Sets, Gauging Ranking Consistency Throughout the Real-Valued Target Space
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    Chapter 15 Bayesian Ordinal Aggregation of Peer Assessments: A Case Study on KDD 2015
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    Chapter 16 Collaborative Online Learning of an Action Model
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    Chapter 17 Ontology-Based Classification – Application of Machine Learning Concepts Without Learning
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    Chapter 18 Deep Distant Supervision: Learning Statistical Relational Models for Weak Supervision in Natural Language Extraction
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    Chapter 19 Supervised Extraction of Usage Patterns in Different Document Representations
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    Chapter 20 Data-Driven Analyses of Electronic Text Books
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    Chapter 21 k-Morik: Mining Patterns to Classify Cartified Images of Katharina
Attention for Chapter 16: Collaborative Online Learning of an Action Model
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Citations

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Summary Dimensions citations
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Chapter title
Collaborative Online Learning of an Action Model
Chapter number 16
Book title
Solving Large Scale Learning Tasks. Challenges and Algorithms
Published in
Lecture notes in computer science, July 2016
DOI 10.1007/978-3-319-41706-6_16
Book ISBNs
978-3-31-941705-9, 978-3-31-941706-6
Authors

Christophe Rodrigues, Henry Soldano, Gauvain Bourgne, Céline Rouveirol

Editors

Stefan Michaelis, Nico Piatkowski, Marco Stolpe

View on publisher site
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 6 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
France 1 17%
Unknown 5 83%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 2 33%
Professor > Associate Professor 1 17%
Student > Bachelor 1 17%
Student > Master 1 17%
Unknown 1 17%
Readers by discipline Count As %
Computer Science 4 67%
Mathematics 1 17%
Physics and Astronomy 1 17%

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