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ORCIDMachine Learning, Volume 103
Volume 103, Number 1, April 2016
- Eyal Gofer, Yishay Mansour:
Lower bounds on individual sequence regret. 1-26 - Jan Van Haaren, Guy Van den Broeck
, Wannes Meert, Jesse Davis:
Lifted generative learning of Markov logic networks. 27-55 - Tianbao Yang, Rong Jin, Shenghuo Zhu, Qihang Lin:
On Data Preconditioning for Regularized Loss Minimization. 57-79 - Moshe Salhov, Amit Bermanis, Guy Wolf, Amir Averbuch:
Learning from patches by efficient spectral decomposition of a structured kernel. 81-102 - Luca Oneto, Sandro Ridella, Davide Anguita:
Tikhonov, Ivanov and Morozov regularization for support vector machine learning. 103-136
Volume 103, Number 2, May 2016
- Hang Li, Dinh Q. Phung, Tru H. Cao, Tu Bao Ho, Zhi-Hua Zhou:
Introduction: special issue of selected papers from ACML 2014. 137-139 - Jing Lu, Peilin Zhao, Steven C. H. Hoi:
Online Passive-Aggressive Active learning. 141-183 - Kar Wai Lim, Wray L. Buntine:
Bibliographic analysis on research publications using authors, categorical labels and the citation network. 185-213 - Ibrahim M. Alabdulmohsin, Moustapha Cissé, Xin Gao, Xiangliang Zhang:
Large margin classification with indefinite similarities. 215-237 - Hanchen Xiong, Sándor Szedmák, Justus H. Piater:
Learning undirected graphical models using persistent sequential Monte Carlo. 239-260 - Kostiantyn Antoniuk, Vojtech Franc, Václav Hlavác:
V-shaped interval insensitive loss for ordinal classification. 261-283 - Keigo Kimura, Mineichi Kudo, Yuzuru Tanaka:
A column-wise update algorithm for nonnegative matrix factorization in Bregman divergence with an orthogonal constraint. 285-306
Volume 103, Number 3, June 2016
- Jesse Davis, Jan Ramon:
Guest editors introduction: special issue on inductive logic programming. 307-308 - Rama Kaalia, Ashwin Srinivasan, Amit Kumar, Indira Ghosh:
ILP-assisted de novo drug design. 309-341 - Annalisa Appice, Pietro Guccione, Donato Malerba:
Transductive hyperspectral image classification: toward integrating spectral and relational features via an iterative ensemble system. 343-375 - Oliver Schulte, Zhensong Qian, Arthur E. Kirkpatrick, Xiaoqian Yin, Yan Sun:
Fast learning of relational dependency networks. 377-406 - Davide Nitti, Tinne De Laet, Luc De Raedt:
Probabilistic logic programming for hybrid relational domains. 407-449
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