Machine Learning and Knowledge Discovery in Databases - Lecture Notes in Computer Science
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Published By Springer International Publishing

9783319712482, 9783319712499

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Scatteract: Automated Extraction of Data from Scatter Plots

Machine Learning and Knowledge Discovery in Databases - Lecture Notes in Computer Science ◽

10.1007/978-3-319-71249-9_9 ◽

2017 ◽

pp. 135-150 ◽

Cited By ~ 7

Author(s):

Mathieu Cliche ◽

David Rosenberg ◽

Dhruv Madeka ◽

Connie Yee

Keyword(s):

Automated Extraction ◽

Scatter Plots

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Concentration Free Outlier Detection

Machine Learning and Knowledge Discovery in Databases - Lecture Notes in Computer Science ◽

10.1007/978-3-319-71249-9_1 ◽

2017 ◽

pp. 3-19 ◽

Cited By ~ 4

Author(s):

Fabrizio Angiulli

Keyword(s):

Outlier Detection

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zooRank: Ranking Suspicious Entities in Time-Evolving Tensors

Machine Learning and Knowledge Discovery in Databases - Lecture Notes in Computer Science ◽

10.1007/978-3-319-71249-9_5 ◽

2017 ◽

pp. 68-84 ◽

Cited By ~ 2

Author(s):

Hemank Lamba ◽

Bryan Hooi ◽

Kijung Shin ◽

Christos Faloutsos ◽

Jürgen Pfeffer

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Structurally Regularized Non-negative Tensor Factorization for Spatio-Temporal Pattern Discoveries

Machine Learning and Knowledge Discovery in Databases - Lecture Notes in Computer Science ◽

10.1007/978-3-319-71249-9_35 ◽

2017 ◽

pp. 582-598 ◽

Cited By ~ 3

Author(s):

Koh Takeuchi ◽

Yoshinobu Kawahara ◽

Tomoharu Iwata

Keyword(s):

Temporal Pattern ◽

Tensor Factorization ◽

Spatio Temporal

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Crossprop: Learning Representations by Stochastic Meta-Gradient Descent in Neural Networks

Machine Learning and Knowledge Discovery in Databases - Lecture Notes in Computer Science ◽

10.1007/978-3-319-71249-9_27 ◽

2017 ◽

pp. 445-459 ◽

Cited By ~ 1

Author(s):

Vivek Veeriah ◽

Shangtong Zhang ◽

Richard S. Sutton

Keyword(s):

Neural Networks ◽

Gradient Descent

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A Network Architecture for Multi-Multi-Instance Learning

Machine Learning and Knowledge Discovery in Databases - Lecture Notes in Computer Science ◽

10.1007/978-3-319-71249-9_44 ◽

2017 ◽

pp. 737-752 ◽

Cited By ~ 2

Author(s):

Alessandro Tibo ◽

Paolo Frasconi ◽

Manfred Jaeger

Keyword(s):

Network Architecture

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Efficient Top Rank Optimization with Gradient Boosting for Supervised Anomaly Detection

Machine Learning and Knowledge Discovery in Databases - Lecture Notes in Computer Science ◽

10.1007/978-3-319-71249-9_2 ◽

2017 ◽

pp. 20-35 ◽

Cited By ~ 8

Author(s):

Jordan Frery ◽

Amaury Habrard ◽

Marc Sebban ◽

Olivier Caelen ◽

Liyun He-Guelton

Keyword(s):

Anomaly Detection ◽

Gradient Boosting

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Distributed Stochastic Optimization of Regularized Risk via Saddle-Point Problem

Machine Learning and Knowledge Discovery in Databases - Lecture Notes in Computer Science ◽

10.1007/978-3-319-71249-9_28 ◽

2017 ◽

pp. 460-476

Author(s):

Shin Matsushima ◽

Hyokun Yun ◽

Xinhua Zhang ◽

S. V. N. Vishwanathan

Keyword(s):

Stochastic Optimization ◽

Saddle Point ◽

Saddle Point Problem ◽

Point Problem

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Learning Łukasiewicz Logic Fragments by Quadratic Programming

Machine Learning and Knowledge Discovery in Databases - Lecture Notes in Computer Science ◽

10.1007/978-3-319-71249-9_25 ◽

2017 ◽

pp. 410-426 ◽

Cited By ~ 1

Author(s):

Francesco Giannini ◽

Michelangelo Diligenti ◽

Marco Gori ◽

Marco Maggini

Keyword(s):

Quadratic Programming ◽

Łukasiewicz Logic ◽

Lukasiewicz Logic

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Graph Enhanced Memory Networks for Sentiment Analysis

Machine Learning and Knowledge Discovery in Databases - Lecture Notes in Computer Science ◽

10.1007/978-3-319-71249-9_23 ◽

2017 ◽

pp. 374-389 ◽

Cited By ~ 1

Author(s):

Zhao Xu ◽

Romain Vial ◽

Kristian Kersting

Keyword(s):

Sentiment Analysis

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Machine Learning and Knowledge Discovery in Databases - Lecture Notes in Computer ScienceLatest Publications

TOTAL DOCUMENTS

H-INDEX

Published By Springer International Publishing

Scatteract: Automated Extraction of Data from Scatter Plots

Concentration Free Outlier Detection

zooRank: Ranking Suspicious Entities in Time-Evolving Tensors

Structurally Regularized Non-negative Tensor Factorization for Spatio-Temporal Pattern Discoveries

Crossprop: Learning Representations by Stochastic Meta-Gradient Descent in Neural Networks

A Network Architecture for Multi-Multi-Instance Learning

Efficient Top Rank Optimization with Gradient Boosting for Supervised Anomaly Detection

Distributed Stochastic Optimization of Regularized Risk via Saddle-Point Problem

Learning Łukasiewicz Logic Fragments by Quadratic Programming

Graph Enhanced Memory Networks for Sentiment Analysis

Machine Learning and Knowledge Discovery in Databases - Lecture Notes in Computer Science
Latest Publications