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ORCIDMachine Learning, Volume 94
Volume 94, Number 1, January 2014
- Fabrizio Riguzzi
, Filip Zelezný:
Guest editors introduction: special issue on Inductive Logic Programming (ILP 2012). 1-2 - Reza Farid, Claude Sammut:
Plane-based object categorisation using relational learning. 3-23 - Stephen H. Muggleton, Dianhuan Lin, Niels Pahlavi, Alireza Tamaddoni-Nezhad:
Meta-interpretive learning: application to grammatical inference. 25-49 - Katsumi Inoue, Tony Ribeiro, Chiaki Sakama:
Learning from interpretation transition. 51-79 - Manoel V. M. França, Gerson Zaverucha, Artur S. d'Avila Garcez:
Fast relational learning using bottom clause propositionalization with artificial neural networks. 81-104 - Oliver Schulte, Hassan Khosravi, Arthur E. Kirkpatrick, Tianxiang Gao, Yuke Zhu:
Modelling relational statistics with Bayes Nets. 105-125
Volume 94, Number 2, February 2014
- Antoine Bordes, Léon Bottou, Ronan Collobert, Dan Roth, Jason Weston, Luke Zettlemoyer:
Introduction to the special issue on learning semantics. 127-131 - Léon Bottou:
From machine learning to machine reasoning - An essay. 133-149 - Stefanie Tellex, Pratiksha Thaker, Joshua Mason Joseph, Nicholas Roy:
Learning perceptually grounded word meanings from unaligned parallel data. 151-167 - Matthias Nickles, Achim Rettinger:
Interactive relational reinforcement learning of concept semantics. 169-204 - Dan Goldwasser, Dan Roth:
Learning from natural instructions. 205-232 - Antoine Bordes, Xavier Glorot, Jason Weston, Yoshua Bengio:
A semantic matching energy function for learning with multi-relational data - Application to word-sense disambiguation. 233-259 - Ashok Chandrashekar, Lorenzo Torresani, Richard Granger:
Learning what is where from unlabeled images: joint localization and clustering of foreground objects. 261-279 - Grégoire Mesnil, Antoine Bordes, Jason Weston, Gal Chechik, Yoshua Bengio:
Learning semantic representations of objects and their parts. 281-301
Volume 94, Number 3, March 2014
- Marco Signoretto, Dinh Quoc Tran, Lieven De Lathauwer, Johan A. K. Suykens:
Learning with tensors: a framework based on convex optimization and spectral regularization. 303-351 - Ognjen Arandjelovic:
Discriminative extended canonical correlation analysis for pattern set matching. 353-370 - Korinna Bade, Andreas Nürnberger:
Hierarchical constraints - Providing structural bias for hierarchical clustering. 371-399 - Amos Beimel, Hai Brenner, Shiva Prasad Kasiviswanathan, Kobbi Nissim:
Bounds on the sample complexity for private learning and private data release. 401-437
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