Lifelong machine learning systems: Beyond learning algorithms DL Silver, Q Yang, L Li 2013 AAAI spring symposium series, 2013 | 268 | 2013 |
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, 1996 | 107 | 1996 |
The task rehearsal method of life-long learning: Overcoming impoverished data DL Silver, RE Mercer Conference of the Canadian Society for Computational Studies of Intelligence …, 2002 | 102 | 2002 |
Neural-symbolic learning and reasoning: contributions and challenges A Garcez, TR Besold, L Raedt, P Földiak, P Hitzler, T Icard, ... | 100 | 2015 |
Inductive transfer with context-sensitive neural networks DL Silver, R Poirier, D Currie Machine Learning 73 (3), 313, 2008 | 55 | 2008 |
Selective functional transfer: Inductive bias from related tasks D Silver, R Mercer IASTED International Conference on Artificial Intelligence and Soft …, 2001 | 51 | 2001 |
Selective transfer of neural network task knowledge DL Silver Faculty of Graduate Studies, University of Western Ontario, 2000 | 46 | 2000 |
Sequential consolidation of learned task knowledge DL Silver, R Poirier Conference of the Canadian Society for Computational Studies of Intelligence …, 2004 | 44 | 2004 |
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 | 36 | 2008 |
Guest editor’s introduction: special issue on inductive transfer learning DL Silver, KP Bennett Machine Learning 73 (3), 215-220, 2008 | 34 | 2008 |
Transfer learning in sequential decision problems: A hierarchical Bayesian approach A Wilson, A Fern, P Tadepalli Proceedings of ICML Workshop on Unsupervised and Transfer Learning, 217-227, 2012 | 33 | 2012 |
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 | 32 | 2017 |
Guest editor’s introduction: special issue on inductive transfer learning DL Silver, KP Bennett Machine Learning 73 (3), 215-220, 2008 | 32 | 2008 |
Keystroke and Eye-Tracking Biometrics for User Identification. DL Silver, A Biggs IC-AI, 344-348, 2006 | 32 | 2006 |
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 | 31 | 2008 |
Lonelydog@ home F Hu, D Silver, A Trudel 2007 IEEE/WIC/ACM International Conferences on Web Intelligence and …, 2007 | 31 | 2007 |
Toward a model of consolidation: The retention and transfer of neural net task knowledge DL Silver, RE Mercer in: Proceedings of the INNS World Congress on Neural Networks, edited by, 1995 | 27 | 1995 |
Machine lifelong learning: challenges and benefits for artificial general intelligence DL Silver International conference on artificial general intelligence, 370-375, 2011 | 20 | 2011 |
Requirements for machine lifelong learning DL Silver, R Poirier International Work-Conference on the Interplay between Natural and …, 2007 | 19 | 2007 |
Continued practice and consolidation of a learning task R O’Quinn, DL Silver, R Poirier Proceedings of the meta-learning workshop, international conference on …, 2005 | 19 | 2005 |