Solving Large Scale Learning Tasks

Publications

2016

Nico Piatkowski, François Schnitzler
Compressible Reparametrization of Time-Variant Linear Dynamical Systems. Solving Large Scale Learning Tasks (2016)
Sangkyun Lee, Andreas Holzinger
Knowledge Discovery from Complex High Dimensional Data. Solving Large Scale Learning Tasks (2016)
Sermad Abbas, Roland Fried, Ursula Gather
Detection of Local Intensity Changes in Grayscale Images with Robust Methods for Time-Series Analysis. Solving Large Scale Learning Tasks (2016)
Nikolaos Panagiotou, Ioannis Katakis, Dimitrios Gunopulos
Detecting Events in Online Social Networks: Definitions, Trends and Challenges. Solving Large Scale Learning Tasks (2016)
Thorsten Joachims, Karthik Raman
Bayesian Ordinal Aggregation of Peer Assessments: A Case Study on KDD 2015. Solving Large Scale Learning Tasks (2016)
Claus Weihs
Big Data Classification - Aspects on Many Features. Solving Large Scale Learning Tasks (2016)
Gustavo Souto, Thomas Liebig
On Event Detection from Spatial Time Series for Urban Traffic Applications. Solving Large Scale Learning Tasks (2016)
Sriraam Natarajan, Ameet Soni, Anurag Wazalwar, Dileep Viswanathan, Kristian Kersting
Deep Distant Supervision: Learning Statistical Relational Models for Weak Supervision in Natural Language Extraction. Solving Large Scale Learning Tasks (2016)
Fosca Giannotti, Lorenzo Gabrielli, Dino Pedreschi, Salvatore Rinzivillo
Understanding Human Mobility with Big Data. Solving Large Scale Learning Tasks (2016)
Élisa Fromont, Bart Goethals
k-Morik: Mining Patterns to Classify Cartified Images of Katharina. Solving Large Scale Learning Tasks (2016)
Christophe Rodrigues, Henry Soldano, Gauvain Bourgne, Céline Rouveirol
Collaborative Online Learning of an Action Model. Solving Large Scale Learning Tasks (2016)
Arno Siebes
Sharing Data with Guaranteed Privacy. Solving Large Scale Learning Tasks (2016)
Jean-François Boulicaut, Marc Plantevit, Céline Robardet
Local Pattern Detection in Attributed Graphs. Solving Large Scale Learning Tasks (2016)
Martin Atzmüller
Advances in Exploratory Pattern Analytics on Ubiquitous Data and Social Media. Solving Large Scale Learning Tasks (2016)
Volker Klingspor
Why Do We Need Data Privacy? Solving Large Scale Learning Tasks (2016)
Thomas Hoppe
Ontology-Based Classification - Application of Machine Learning Concepts Without Learning. Solving Large Scale Learning Tasks (2016)
Marco Stolpe, Kanishka Bhaduri, Kamalika Das
Distributed Support Vector Machines: An Overview. Solving Large Scale Learning Tasks (2016)
Mário Cordeiro, João Gama
Online Social Networks Event Detection: A Survey. Solving Large Scale Learning Tasks (2016)
Christian Pölitz
Supervised Extraction of Usage Patterns in Different Document Representations. Solving Large Scale Learning Tasks (2016)
Ahcène Boubekki, Ulf Kröhne, Frank Goldhammer, Waltraud Schreiber, Ulf Brefeld
Data-Driven Analyses of Electronic Text Books. Solving Large Scale Learning Tasks (2016)
Wouter Duivesteijn, Marvin Meeng
SCHEP - A Geometric Quality Measure for Regression Rule Sets, Gauging Ranking Consistency Throughout the Real-Valued Target Space. Solving Large Scale Learning Tasks (2016)

volume 9580, 2016

Solving Large Scale Learning Tasks. Challenges and Algorithms - Essays Dedicated to Katharina Morik on the Occasion of Her 60th Birthday Solving Large Scale Learning Tasks 9580 (2016)