Machine Learning and Knowledge Discovery in Databases - Lecture Notes in Computer Science
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(FIVE YEARS 44)

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(FIVE YEARS 2)

Published By Springer International Publishing

9783030461492, 9783030461508

Latest Documents Most Cited Documents Contributed Authors Related Sources Related Keywords

Graph Signal Processing for Directed Graphs Based on the Hermitian Laplacian

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

10.1007/978-3-030-46150-8_27 ◽

2020 ◽

pp. 447-463

Author(s):

Satoshi Furutani ◽

Toshiki Shibahara ◽

Mitsuaki Akiyama ◽

Kunio Hato ◽

Masaki Aida

Keyword(s):

Signal Processing ◽

Directed Graphs ◽

Graph Signal Processing

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Joint Multi-source Reduction

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

10.1007/978-3-030-46150-8_18 ◽

2020 ◽

pp. 293-309

Author(s):

Lei Zhang ◽

Shupeng Wang ◽

Xin Jin ◽

Siyu Jia

Keyword(s):

Source Reduction

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Holistic Assessment of Structure Discovery Capabilities of Clustering Algorithms

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

10.1007/978-3-030-46150-8_14 ◽

2020 ◽

pp. 223-239

Author(s):

Frank Höppner ◽

Maximilian Jahnke

Keyword(s):

Clustering Algorithms ◽

Holistic Assessment

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Node Representation Learning for Directed Graphs

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

10.1007/978-3-030-46150-8_24 ◽

2020 ◽

pp. 395-411

Author(s):

Megha Khosla ◽

Jurek Leonhardt ◽

Wolfgang Nejdl ◽

Avishek Anand

Keyword(s):

Directed Graphs ◽

Representation Learning

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Online Linear Models for Edge Computing

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

10.1007/978-3-030-46150-8_38 ◽

2020 ◽

pp. 645-661

Author(s):

Hadar Sivan ◽

Moshe Gabel ◽

Assaf Schuster

Keyword(s):

Linear Models ◽

Edge Computing

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Shrinkage Estimators for Uplift Regression

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

10.1007/978-3-030-46150-8_36 ◽

2020 ◽

pp. 607-623

Author(s):

Krzysztof Rudaś ◽

Szymon Jaroszewicz

Keyword(s):

Shrinkage Estimators

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An Algorithm for Reducing the Number of Distinct Branching Conditions in a Decision Forest

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

10.1007/978-3-030-46150-8_34 ◽

2020 ◽

pp. 578-589

Author(s):

Atsuyoshi Nakamura ◽

Kento Sakurada

Keyword(s):

Decision Forest

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Novel Dense Subgraph Discovery Primitives: Risk Aversion and Exclusion Queries

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

10.1007/978-3-030-46150-8_23 ◽

2020 ◽

pp. 378-394

Author(s):

Charalampos E. Tsourakakis ◽

Tianyi Chen ◽

Naonori Kakimura ◽

Jakub Pachocki

Keyword(s):

Risk Aversion ◽

Dense Subgraph ◽

Dense Subgraph Discovery

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The Elliptical Basis Function Data Descriptor (EBFDD) Network: A One-Class Classification Approach to Anomaly Detection

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

10.1007/978-3-030-46150-8_7 ◽

2020 ◽

pp. 107-123

Author(s):

Mehran Hossein Zadeh Bazargani ◽

Brian Mac Namee

Keyword(s):

Anomaly Detection ◽

Basis Function ◽

Classification Approach ◽

Function Data ◽

One Class Classification

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Maximal Closed Set and Half-Space Separations in Finite Closure Systems

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

10.1007/978-3-030-46150-8_2 ◽

2020 ◽

pp. 21-37

Author(s):

Florian Seiffarth ◽

Tamás Horváth ◽

Stefan Wrobel

Keyword(s):

Half Space ◽

Closed Set ◽

Closure Systems

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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

Graph Signal Processing for Directed Graphs Based on the Hermitian Laplacian

Joint Multi-source Reduction

Holistic Assessment of Structure Discovery Capabilities of Clustering Algorithms

Node Representation Learning for Directed Graphs

Online Linear Models for Edge Computing

Shrinkage Estimators for Uplift Regression

An Algorithm for Reducing the Number of Distinct Branching Conditions in a Decision Forest

Novel Dense Subgraph Discovery Primitives: Risk Aversion and Exclusion Queries

The Elliptical Basis Function Data Descriptor (EBFDD) Network: A One-Class Classification Approach to Anomaly Detection

Maximal Closed Set and Half-Space Separations in Finite Closure Systems

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