Machine Learning and Knowledge Discovery in Databases - Lecture Notes in Computer Science
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9783319235240, 9783319235257
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Opening the Black Box: Revealing Interpretable Sequence Motifs in Kernel-Based Learning Algorithms

2015 ◽  
pp. 137-153 ◽  
Author(s):  
Marina M.-C. Vidovic ◽  
Nico Görnitz ◽  
Klaus-Robert Müller ◽  
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Keyword(s):  
Learning Algorithms ◽  
Black Box ◽  
Sequence Motifs

Finding Dense Subgraphs in Relational Graphs

2015 ◽  
pp. 641-654 ◽  
Author(s):  
Vinay Jethava ◽  
Niko Beerenwinkel
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Dense Subgraphs ◽  
Relational Graphs

Simplifying, Regularizing and Strengthening Sum-Product Network Structure Learning

2015 ◽  
pp. 343-358 ◽  
Author(s):  
Antonio Vergari ◽  
Nicola Di Mauro ◽  
Floriana Esposito
Keyword(s):  
Network Structure ◽  
Structure Learning

scholarly journals Towards Computation of Novel Ideas from Corpora of Scientific Text

2015 ◽  
pp. 541-556 ◽  
Author(s):  
Haixia Liu ◽  
James Goulding ◽  
Tim Brailsford
Keyword(s):  
Scientific Text

scholarly journals Scalable Bayesian Non-negative Tensor Factorization for Massive Count Data

2015 ◽  
pp. 53-70 ◽  
Author(s):  
Changwei Hu ◽  
Piyush Rai ◽  
Changyou Chen ◽  
Matthew Harding ◽  
Lawrence Carin
Keyword(s):  
Count Data ◽  
Tensor Factorization

scholarly journals Fast Generation of Best Interval Patterns for Nonmonotonic Constraints

2015 ◽  
pp. 157-172 ◽  
Author(s):  
Aleksey Buzmakov ◽  
Sergei O. Kuznetsov ◽  
Amedeo Napoli
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