Ausgabe 6/2019
Inhalt (14 Artikel)
A unifying view of explicit and implicit feature maps of graph kernels
Nils M. Kriege, Marion Neumann, Christopher Morris, Kristian Kersting, Petra Mutzel
HHMF: hidden hierarchical matrix factorization for recommender systems
Hui Li, Yu Liu, Yuqiu Qian, Nikos Mamoulis, Wenting Tu, David W. Cheung
Efficient mixture model for clustering of sparse high dimensional binary data
Marek Śmieja, Krzysztof Hajto, Jacek Tabor
More for less: adaptive labeling payments in online labor markets
Tomer Geva, Maytal Saar-Tsechansky, Harel Lustiger
A probabilistic classifier ensemble weighting scheme based on cross-validated accuracy estimates
James Large, Jason Lines, Anthony Bagnall
Extending inverse frequent itemsets mining to generate realistic datasets: complexity, accuracy and emerging applications
Domenico Saccá, Edoardo Serra, Antonino Rullo
SAZED: parameter-free domain-agnostic season length estimation in time series data
Maximilian Toller, Tiago Santos, Roman Kern
Wrangling messy CSV files by detecting row and type patterns
G. J. J. van den Burg, A. Nazábal, C. Sutton
catch22: CAnonical Time-series CHaracteristics
Carl H. Lubba, Sarab S. Sethi, Philip Knaute, Simon R. Schultz, Ben D. Fulcher, Nick S. Jones
Contextual bandits with hidden contexts: a focused data capture from social media streams
Sylvain Lamprier, Thibault Gisselbrecht, Patrick Gallinari
A unified view of density-based methods for semi-supervised clustering and classification
Jadson Castro Gertrudes, Arthur Zimek, Jörg Sander, Ricardo J. G. B. Campello
Attributed network embedding via subspace discovery
Daokun Zhang, Jie Yin, Xingquan Zhu, Chengqi Zhang
Correction to: Domain agnostic online semantic segmentation for multi-dimensional time series
Shaghayegh Gharghabi, Chin-Chia Michael Yeh, Yifei Ding, Wei Ding, Paul Hibbing, Samuel LaMunion, Andrew Kaplan, Scott E. Crouter, Eamonn Keogh