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ORCIDMachine Learning, Volume 104
Volume 104, Number 1, July 2016
- Zhi-Hong Deng, Xiaoran Xu:
A novel probabilistic clustering model for heterogeneous networks. 1-24 - Xuqing Liu
, Xinsheng Liu:
Swamping and masking in Markov boundary discovery. 25-54 - Eleftherios Spyromitros Xioufis, Grigorios Tsoumakas, William Groves, Ioannis P. Vlahavas:
Multi-target regression via input space expansion: treating targets as inputs. 55-98 - Benjamin Rosman, Majd Hawasly, Subramanian Ramamoorthy:
Bayesian policy reuse. 99-127 - Elad Hazan, Satyen Kale, Manfred K. Warmuth:
Learning rotations with little regret. 129-148
Volume 104, Numbers 2-3, September 2016
- Thomas Gärtner, Mirco Nanni, Andrea Passerini, Céline Robardet:
Guest editors' introduction to the EcmlPkdd 2016 journal track special issue of Machine Learning. 149-150 - Nayyar Abbas Zaidi, Geoffrey I. Webb, Mark James Carman, François Petitjean, Jesús Cerquides:
ALRn: accelerated higher-order logistic regression. 151-194 - Emanuele Frandi, Ricardo Ñanculef, Stefano Lodi, Claudio Sartori, Johan A. K. Suykens:
Fast and scalable Lasso via stochastic Frank-Wolfe methods with a convergence guarantee. 195-221 - Phong Nguyen, Jun Wang, Alexandros Kalousis:
Factorizing LambdaMART for cold start recommendations. 223-242 - Decebal Constantin Mocanu, Elena Mocanu, Phuong H. Nguyen, Madeleine Gibescu, Antonio Liotta:
A topological insight into restricted Boltzmann machines. 243-270 - Morteza Haghir Chehreghani:
Adaptive trajectory analysis of replicator dynamics for data clustering. 271-289 - Niall Twomey, Tom Diethe, Peter A. Flach:
On the need for structure modelling in sequence prediction. 291-314 - Christian Pölitz, Wouter Duivesteijn, Katharina Morik:
Interpretable domain adaptation via optimization over the Stiefel manifold. 315-336 - Christian Daniel, Herke van Hoof, Jan Peters, Gerhard Neumann:
Probabilistic inference for determining options in reinforcement learning. 337-357 - Nikolaos Nikolaou, Narayanan Unny Edakunni, Meelis Kull, Peter A. Flach, Gavin Brown:
Cost-sensitive boosting algorithms: Do we really need them? 359-384 - Uwe Dick, Tobias Scheffer:
Learning to control a structured-prediction decoder for detection of HTTP-layer DDoS attackers. 385-410 - Shalmali Joshi, Joydeep Ghosh, Mark Reid, Oluwasanmi Koyejo:
Rényi divergence minimization based co-regularized multiview clustering. 411-439 - Ranganath Biligere Narayana Swamy:
Sparse topical analysis of dyadic data using matrix tri-factorization. 441-466
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