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Home > Machine Learning and Knowledge Discovery in Databases: European Conference, ECML PKDD 2010, Barcelona, Spain, September 20-24, 2010. Proceedings, Part II > Solving Structured Sparsity Regularization with Proximal Methods
Machine Learning and Knowledge Discovery in Databases: European Conference, ECML PKDD 2010, Barcelona, Spain, September 20-24, 2010. Proceedings, Part II |
José L. Balcázar; Francesco Bonchi; Aristides Gionis; Michèle Sebag
Springer Berlin Heidelberg
Machine Learning and Knowledge Discovery in Databases: European Conference, ECML PKDD 2010, Barcelona, Spain, September 20-24, 2010. Proceedings, Part II
Solving Structured Sparsity Regularization with Proximal Methods
Authors

Sofia Mosci; Lorenzo Rosasco; Matteo Santoro; Alessandro Verri; Silvia Villa

ARI Id

1664827784993_3682819

Access

Not Available Free

Pages

418-433

DOI

10.1007/978-3-642-15883-4_27

Chapter URL

https://rd.springer.com/chapter/10.1007/978-3-642-15883-4_27

Table of Contents of Book
Showing 1 to 20 of 34 entries
Chapters/HeadingsAuthor(s)PagesInfo
Front Matter
Bayesian Knowledge Corroboration with Logical Rules and User Feedback
Gjergji Kasneci; Jurgen Van Gael; Ralf Herbrich; Thore Graepel
1-18
Learning an Affine Transformation for Non-linear Dimensionality Reduction
Pooyan Khajehpour Tadavani; Ali Ghodsi
19-34
NDPMine: Efficiently Mining Discriminative Numerical Features for Pattern-Based Classification
Hyungsul Kim; Sangkyum Kim; Tim Weninger; Jiawei Han; Tarek Abdelzaher
35-50
Hidden Conditional Ordinal Random Fields for Sequence Classification
Minyoung Kim; Vladimir Pavlovic
51-65
A Unifying View of Multiple Kernel Learning
Marius Kloft; Ulrich Rückert; Peter L. Bartlett
66-81
Evolutionary Dynamics of Regret Minimization
Tomas Klos; Gerrit Jan van Ahee; Karl Tuyls
82-96
Recognition of Instrument Timbres in Real Polytimbral Audio Recordings
Elżbieta Kubera; Alicja Wieczorkowska; Zbigniew Raś; Magdalena Skrzypiec
97-110
Finding Critical Nodes for Inhibiting Diffusion of Complex Contagions in Social Networks
Chris J. Kuhlman; V. S. Anil Kumar; Madhav V. Marathe; S. S. Ravi; Daniel J. Rosenkrantz
111-127
Semi-supervised Abstraction-Augmented String Kernel for Multi-level Bio-Relation Extraction
Pavel Kuksa; Yanjun Qi; Bing Bai; Ronan Collobert; Jason Weston; Vladimir Pavlovic et al.
128-144
Online Knowledge-Based Support Vector Machines
Gautam Kunapuli; Kristin P. Bennett; Amina Shabbeer; Richard Maclin; Jude Shavlik
145-161
Learning with Randomized Majority Votes
Alexandre Lacasse; François Laviolette; Mario Marchand; Francis Turgeon-Boutin
162-177
Exploration in Relational Worlds
Tobias Lang; Marc Toussaint; Kristian Kersting
178-194
Efficient Confident Search in Large Review Corpora
Theodoros Lappas; Dimitrios Gunopulos
195-210
Learning to Tag from Open Vocabulary Labels
Edith Law; Burr Settles; Tom Mitchell
211-226
A Robustness Measure of Association Rules
Yannick Le Bras; Patrick Meyer; Philippe Lenca; Stéphane Lallich
227-242
Automatic Model Adaptation for Complex Structured Domains
Geoffrey Levine; Gerald DeJong; Li-Lun Wang; Rajhans Samdani; Shankar Vembu; Dan Roth
243-258
Collective Traffic Forecasting
Marco Lippi; Matteo Bertini; Paolo Frasconi
259-273
On Detecting Clustered Anomalies Using SCiForest
Fei Tony Liu; Kai Ming Ting; Zhi-Hua Zhou
274-290
Constrained Parameter Estimation for Semi-supervised Learning: The Case of the Nearest Mean Classifier
Marco Loog
291-304
Chapters/HeadingsAuthor(s)PagesInfo
Showing 1 to 20 of 34 entries
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