Daniel L. Silver

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23EEDaniel L. Silver, Liangliang Tu: Image Transformation: Inductive Transfer between Multiple Tasks Having Multiple Outputs. Canadian Conference on AI 2008: 296-307
22EEElhadi Shakshuki, Hsiang-Hwa Koo, Darcy G. Benoit, Daniel L. Silver: A distributed multi-agent meeting scheduler. J. Comput. Syst. Sci. 74(2): 279-296 (2008)
21EEDaniel L. Silver, Kristin P. Bennett: Guest editor's introduction: special issue on inductive transfer learning. Machine Learning 73(3): 215-220 (2008)
20EEDaniel L. Silver, Ryan Poirier, Duane Currie: Inductive transfer with context-sensitive neural networks. Machine Learning 73(3): 313-336 (2008)
19EEXiaoyan Peng, Daniel L. Silver: Interface Adaptation Based on User Expectation. AINA Workshops (2) 2007: 264-269
18 Daniel L. Silver, Ryan Poirier: Context-Sensitive MTL Networks for Machine Lifelong Learning. FLAIRS Conference 2007: 628-
17EEDaniel L. Silver, Robert E. Mercer: Sequential Inductive Transfer for Coronary Artery Disease Diagnosis. IJCNN 2007: 2635-2641
16EEDaniel L. Silver, Ryan Poirier: Requirements for Machine Lifelong Learning. IWINAC (1) 2007: 313-319
15EEDaniel L. Silver, Lisa Gaudette, Ian Spooner: Inductive transfer applied to stream discharge modeling. SMC 2007: 528-534
14 Daniel L. Silver, Ryan Poirier: Machine Life-Long Learning with csMTL Networks. AAAI 2006
13 Daniel L. Silver, Adam Biggs: Keystroke and Eye-Tracking Biometrics for User Identification. IC-AI 2006: 344-348
12 Daniel L. Silver, Richard Alisch: A Measure of Relatedness for Selecting Consolidated Task Knowledge. FLAIRS Conference 2005: 399-404
11EEJames Blustein, Ching-Lung Fu, Daniel L. Silver: Information visualization for an intrusion detection system. Hypertext 2005: 278-279
10EEJames Blustein, Daniel L. Silver, Ching-Lung Fu: Information Visualization for Intrusion Detection. PST 2005
9EEXiaoyan Peng, Daniel L. Silver: User Control over User Adaptation: A Case Study. User Modeling 2005: 443-447
8EEDaniel L. Silver, Ryan Poirier: Sequential Consolidation of Learned Task Knowledge. Canadian Conference on AI 2004: 217-232
7EEChing-Lung Fu, Daniel L. Silver: Time-Sensitive Sampling for Spam Filtering. Canadian Conference on AI 2004: 551-553
6EEDaniel L. Silver, Peter McCracken: Selective Transfer of Task Knowledge Using Stochastic Noise. Canadian Conference on AI 2003: 190-205
5 Daniel L. Silver, Peter McCracken: The Consolidation of Neural Network Task Knowledge. ICMLA 2003: 185-192
4EEDaniel L. Silver, Robert E. Mercer: The Task Rehearsal Method of Life-Long Learning: Overcoming Impoverished Data. Canadian Conference on AI 2002: 90-101
3 Daniel L. Silver, Robert E. Mercer: Life-long Learning through Task Rehersal and Selective Transfer. ICMLA 2002: 173-179
2EEDaniel L. Silver: The Parallel Transfer of Task Knowledge Using Dynamic Learning Rates Based on a Measure of Relatedness. Connect. Sci. 8(2): 277-294 (1996)
1EEDaniel L. Silver, James W. Hong, Michael A. Bauer: X-500 Directory Schema Management. ICDE 1994: 393-400

Coauthor Index

1Richard Alisch [12]
2Michael A. Bauer [1]
3Kristin P. Bennett [21]
4Darcy G. Benoit [22]
5Adam Biggs [13]
6James Blustein [10] [11]
7Duane Currie [20]
8Ching-Lung Fu [7] [10] [11]
9Lisa Gaudette [15]
10James Won-Ki Hong (James W. Hong) [1]
11Hsiang-Hwa Koo [22]
12Peter McCracken [5] [6]
13Robert E. Mercer [3] [4] [17]
14Xiaoyan Peng [9] [19]
15Ryan Poirier [8] [14] [16] [18] [20]
16Elhadi Shakshuki [22]
17Ian Spooner [15]
18Liangliang Tu [23]

Colors in the list of coauthors

Copyright © Sun May 17 03:24:02 2009 by Michael Ley (ley@uni-trier.de)