Daniel Silver
Daniel Silver
Jodrey School of Computer Science, Acadia University
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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
Guest editor’s introduction: special issue on inductive transfer learning
DL Silver, KP Bennett
Machine Learning 73, 215-220, 2008
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
Keystroke and Eye-Tracking Biometrics for User Identification.
DL Silver, A Biggs
IC-AI, 344-348, 2006
Machine lifelong learning: Challenges and benefits for artificial general intelligence
DL Silver
Artificial General Intelligence: 4th International Conference, AGI 2011 …, 2011
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
Requirements for machine lifelong learning
DL Silver, R Poirier
Bio-inspired Modeling of Cognitive Tasks: Second International Work …, 2007
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