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ORCIDMachine Learning, Volume 97
Volume 97, Numbers 1-2, October 2014
- Toon Calders, Floriana Esposito
, Eyke Hüllermeier, Rosa Meo:
Guest Editors' introduction: special issue of the ECML/PKDD 2014 journal track. 1-3 - Thomas Andrew Lampert, Pierre Gançarski:
The bane of skew - Uncertain ranks and unrepresentative precision. 5-32 - Theja Tulabandhula, Cynthia Rudin:
On combining machine learning with decision making. 33-64 - Darren Homrighausen, Daniel J. McDonald:
Leave-one-out cross-validation is risk consistent for lasso. 65-78 - Gary Doran, Soumya Ray:
A theoretical and empirical analysis of support vector machine methods for multiple-instance classification. 79-102 - Oluwasanmi Koyejo, Cheng H. Lee, Joydeep Ghosh:
A constrained matrix-variate Gaussian process for transposable data. 103-127 - Aurélien Bellet, Amaury Habrard, Emilie Morvant, Marc Sebban:
Learning a priori constrained weighted majority votes. 129-154 - Ulf Johansson, Henrik Boström, Tuve Löfström, Henrik Linusson:
Regression conformal prediction with random forests. 155-176 - Kai Zhu, Rui Wu, Lei Ying, R. Srikant:
Collaborative filtering with information-rich and information-sparse entities. 177-203 - Nicolas Courty, Xing Gong, Jimmy Vandel, Thomas Burger:
SAGA: sparse and geometry-aware non-negative matrix factorization through non-linear local embedding. 205-226
Volume 97, Number 3, December 2014
- Zhihua Zhang:
The matrix ridge approximation: algorithms and applications. 227-258 - Russel Pears, Sripirakas Sakthithasan, Yun Sing Koh:
Detecting concept change in dynamic data streams - A sequential approach based on reservoir sampling. 259-293 - Peng Sun, Mark D. Reid, Jie Zhou:
An improved multiclass LogitBoost using adaptive-one-vs-one. 295-326 - Róbert Busa-Fekete, Balázs Szörényi, Paul Weng, Weiwei Cheng, Eyke Hüllermeier:
Preference-based reinforcement learning: evolutionary direct policy search using a preference-based racing algorithm. 327-351
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