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

TOTAL DOCUMENTS

(FIVE YEARS 0)

H-INDEX

(FIVE YEARS 0)

Published By Springer International Publishing

9783319235240, 9783319235257

Latest Documents Most Cited Documents Contributed Authors Related Sources Related Keywords

Opening the Black Box: Revealing Interpretable Sequence Motifs in Kernel-Based Learning Algorithms

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

10.1007/978-3-319-23525-7_9 ◽

2015 ◽

pp. 137-153 ◽

Cited By ~ 3

Author(s):

Marina M.-C. Vidovic ◽

Nico Görnitz ◽

Klaus-Robert Müller ◽

Gunnar Rätsch ◽

Marius Kloft

Keyword(s):

Learning Algorithms ◽

Black Box ◽

Sequence Motifs

Download Full-text

Finding Dense Subgraphs in Relational Graphs

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

10.1007/978-3-319-23525-7_39 ◽

2015 ◽

pp. 641-654 ◽

Cited By ~ 8

Author(s):

Vinay Jethava ◽

Niko Beerenwinkel

Keyword(s):

Dense Subgraphs ◽

Relational Graphs

Download Full-text

The Blind Leading the Blind: Network-Based Location Estimation Under Uncertainty

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

10.1007/978-3-319-23525-7_25 ◽

2015 ◽

pp. 406-421 ◽

Cited By ~ 1

Author(s):

Eric Malmi ◽

Arno Solin ◽

Aristides Gionis

Keyword(s):

Location Estimation

Download Full-text

Simplifying, Regularizing and Strengthening Sum-Product Network Structure Learning

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

10.1007/978-3-319-23525-7_21 ◽

2015 ◽

pp. 343-358 ◽

Cited By ~ 18

Author(s):

Antonio Vergari ◽

Nicola Di Mauro ◽

Floriana Esposito

Keyword(s):

Network Structure ◽

Structure Learning

Download Full-text

Towards Computation of Novel Ideas from Corpora of Scientific Text

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

10.1007/978-3-319-23525-7_33 ◽

2015 ◽

pp. 541-556 ◽

Cited By ~ 3

Author(s):

Haixia Liu ◽

James Goulding ◽

Tim Brailsford

Keyword(s):

Scientific Text

Download Full-text

Latent Factors Meet Homophily in Diffusion Modelling

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

10.1007/978-3-319-23525-7_43 ◽

2015 ◽

pp. 701-718

Author(s):

Minh-Duc Luu ◽

Ee-Peng Lim

Keyword(s):

Latent Factors ◽

Diffusion Modelling

Download Full-text

Scalable Bayesian Non-negative Tensor Factorization for Massive Count Data

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

10.1007/978-3-319-23525-7_4 ◽

2015 ◽

pp. 53-70 ◽

Cited By ~ 9

Author(s):

Changwei Hu ◽

Piyush Rai ◽

Changyou Chen ◽

Matthew Harding ◽

Lawrence Carin

Keyword(s):

Count Data ◽

Tensor Factorization

Download Full-text

Generalized Matrix Factorizations as a Unifying Framework for Pattern Set Mining: Complexity Beyond Blocks

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

10.1007/978-3-319-23525-7_3 ◽

2015 ◽

pp. 36-52 ◽

Cited By ~ 3

Author(s):

Pauli Miettinen

Keyword(s):

Matrix Factorizations ◽

Generalized Matrix

Download Full-text

Fast Generation of Best Interval Patterns for Nonmonotonic Constraints

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

10.1007/978-3-319-23525-7_10 ◽

2015 ◽

pp. 157-172 ◽

Cited By ~ 4

Author(s):

Aleksey Buzmakov ◽

Sergei O. Kuznetsov ◽

Amedeo Napoli

Download Full-text

Planning in Discrete and Continuous Markov Decision Processes by Probabilistic Programming

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

10.1007/978-3-319-23525-7_20 ◽

2015 ◽

pp. 327-342 ◽

Cited By ~ 4

Author(s):

Davide Nitti ◽

Vaishak Belle ◽

Luc De Raedt

Keyword(s):

Markov Decision Processes ◽

Decision Processes ◽

Probabilistic Programming ◽

Markov Decision

Download Full-text

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

TOTAL DOCUMENTS

H-INDEX

Published By Springer International Publishing

Opening the Black Box: Revealing Interpretable Sequence Motifs in Kernel-Based Learning Algorithms

Finding Dense Subgraphs in Relational Graphs

The Blind Leading the Blind: Network-Based Location Estimation Under Uncertainty

Simplifying, Regularizing and Strengthening Sum-Product Network Structure Learning

Towards Computation of Novel Ideas from Corpora of Scientific Text

Latent Factors Meet Homophily in Diffusion Modelling

Scalable Bayesian Non-negative Tensor Factorization for Massive Count Data

Generalized Matrix Factorizations as a Unifying Framework for Pattern Set Mining: Complexity Beyond Blocks

Fast Generation of Best Interval Patterns for Nonmonotonic Constraints

Planning in Discrete and Continuous Markov Decision Processes by Probabilistic Programming

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