Daniel Silver
Daniel Silver
Jodrey School of Computer Science, Acadia University
Bestätigte E-Mail-Adresse bei
Zitiert von
Zitiert von
Lifelong machine learning systems: Beyond learning algorithms
DL Silver, Q Yang, L Li
2013 AAAI spring symposium series, 2013
Neural-symbolic learning and reasoning: contributions and challenges
AA Garcez, TR Besold, L De Raedt, P Földiak, P Hitzler, T Icard, ...
2015 AAAI Spring Symposium Series, 2015
The task rehearsal method of life-long learning: Overcoming impoverished data
DL Silver, RE Mercer
Advances in Artificial Intelligence: 15th Conference of the Canadian Society …, 2002
The parallel transfer of task knowledge using dynamic learning rates based on a measure of relatedness
DL Silver, RE Mercer
Learning to learn, 213-233, 1998
Trajectorynet: An embedded gps trajectory representation for point-based classification using recurrent neural networks
X Jiang, EN de Souza, A Pesaranghader, B Hu, DL Silver, S Matwin
arXiv preprint arXiv:1705.02636, 2017
Inductive transfer with context-sensitive neural networks
DL Silver, R Poirier, D Currie
Machine Learning 73, 313-336, 2008
Guest editor’s introduction: special issue on inductive transfer learning
DL Silver, KP Bennett
Machine Learning 73, 215-220, 2008
Selective functional transfer: Inductive bias from related tasks
D Silver, R Mercer
IASTED International Conference on Artificial Intelligence and Soft …, 2001
Selective transfer of neural network task knowledge
DL Silver, RE Mercer
Faculty of Graduate Studies, University of Western Ontario, 2000
Sequential consolidation of learned task knowledge
DL Silver, R Poirier
Advances in Artificial Intelligence: 17th Conference of the Canadian Society …, 2004
Simmel’s law of the individual and the ethics of the relational self
M Lee, D Silver
Theory, Culture & Society 29 (7-8), 124-145, 2012
Machine lifelong learning: Challenges and benefits for artificial general intelligence
DL Silver
Artificial General Intelligence: 4th International Conference, AGI 2011 …, 2011
Keystroke and Eye-Tracking Biometrics for User Identification.
DL Silver, A Biggs
IC-AI, 344-348, 2006
A distributed multi-agent meeting scheduler
E Shakshuki, HH Koo, D Benoit, D Silver
Journal of Computer and System Sciences 74 (2), 279-296, 2008
Using received signal strength variation for surveillance in residential areas
S Hussain, R Peters, DL Silver
Data Mining, Intrusion Detection, Information Assurance, and Data Networks …, 2008
Lonelydog@ home
F Hu, D Silver, A Trudel
2007 IEEE/WIC/ACM International Conferences on Web Intelligence and …, 2007
Fishing activity detection from AIS data using autoencoders
X Jiang, DL Silver, B Hu, EN de Souza, S Matwin
Advances in Artificial Intelligence: 29th Canadian Conference on Artificial …, 2016
Toward a model of consolidation: The retention and transfer of neural net task knowledge
DL Silver, RE Mercer
Proceedings of the 1995 World Congress on Neural Networks, III-164-III-169, 2019
In vino veritas: Estimating vineyard grape yield from images using deep learning
DL Silver, T Monga
Advances in Artificial Intelligence: 32nd Canadian Conference on Artificial …, 2019
Quilt: Effective multi-class classification on quantum computers using an ensemble of diverse quantum classifiers
D Silver, T Patel, D Tiwari
Proceedings of the AAAI Conference on Artificial Intelligence 36 (8), 8324-8332, 2022
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