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Home > Machine Learning and Knowledge Discovery in Databases: European Conference, ECML PKDD 2015, Porto, Portugal, September 7-11, 2015, Proceedings, Part II > Weighted Rank Correlation: A Flexible Approach Based on Fuzzy Order Relations
Machine Learning and Knowledge Discovery in Databases: European Conference, ECML PKDD 2015, Porto, Portugal, September 7-11, 2015, Proceedings, Part II |
Annalisa Appice; Pedro Pereira Rodrigues; Vítor Santos Costa; João Gama; Alípio Jorge; Carlos Soares
Springer International Publishing
Machine Learning and Knowledge Discovery in Databases: European Conference, ECML PKDD 2015, Porto, Portugal, September 7-11, 2015, Proceedings, Part II
Weighted Rank Correlation: A Flexible Approach Based on Fuzzy Order Relations
Authors

Sascha Henzgen; Eyke Hüllermeier

ARI Id

1664819655041_3648520

Access

Not Available Free

Pages

422-437

DOI

10.1007/978-3-319-23525-7_26

Chapter URL

https://rd.springer.com/chapter/10.1007/978-3-319-23525-7_26

Table of Contents of Book
Showing 1 to 20 of 54 entries
Chapters/HeadingsAuthor(s)PagesInfo
Front Matter
I-XLII
Front Matter
1-1
BoostMF: Boosted Matrix Factorisation for Collaborative Ranking
Nipa Chowdhury; Xiongcai Cai; Cheng Luo
3-18
Convex Factorization Machines
Mathieu Blondel; Akinori Fujino; Naonori Ueda
19-35
Generalized Matrix Factorizations as a Unifying Framework for Pattern Set Mining: Complexity Beyond Blocks
Pauli Miettinen
36-52
Scalable Bayesian Non-negative Tensor Factorization for Massive Count Data
Changwei Hu; Piyush Rai; Changyou Chen; Matthew Harding; Lawrence Carin
53-70
A Practical Approach to Reduce the Learning Bias Under Covariate Shift
Van-Tinh Tran; Alex Aussem
71-86
Hyperparameter Optimization with Factorized Multilayer Perceptrons
Nicolas Schilling; Martin Wistuba; Lucas Drumond; Lars Schmidt-Thieme
87-103
Hyperparameter Search Space Pruning – A New Component for Sequential Model-Based Hyperparameter Optimization
Martin Wistuba; Nicolas Schilling; Lars Schmidt-Thieme
104-119
Multi-Task Learning with Group-Specific Feature Space Sharing
Niloofar Yousefi; Michael Georgiopoulos; Georgios C. Anagnostopoulos
120-136
Opening the Black Box: Revealing Interpretable Sequence Motifs in Kernel-Based Learning Algorithms
Marina M.-C. Vidovic; Nico Görnitz; Klaus-Robert Müller; Gunnar Rätsch; Marius Kloft
137-153
Front Matter
155-155
Fast Generation of Best Interval Patterns for Nonmonotonic Constraints
Aleksey Buzmakov; Sergei O. Kuznetsov; Amedeo Napoli
157-172
Non-parametric Jensen-Shannon Divergence
Hoang-Vu Nguyen; Jilles Vreeken
173-189
Swap Randomization of Bases of Sequences for Mining Satellite Image Times Series
Nicolas Méger; Christophe Rigotti; Catherine Pothier
190-205
The Difference and the Norm — Characterising Similarities and Differences Between Databases
Kailash Budhathoki; Jilles Vreeken
206-223
Front Matter
225-225
Dyad Ranking Using A Bilinear Plackett-Luce Model
Dirk Schäfer; Eyke Hüllermeier
227-242
Fast Training of Support Vector Machines for Survival Analysis
Sebastian Pölsterl; Nassir Navab; Amin Katouzian
243-259
Superset Learning Based on Generalized Loss Minimization
Eyke Hüllermeier; Weiwei Cheng
260-275
Chapters/HeadingsAuthor(s)PagesInfo
Showing 1 to 20 of 54 entries
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