| 2008 |
|---|
| 23 | EE | Daniel L. Silver,
Liangliang Tu:
Image Transformation: Inductive Transfer between Multiple Tasks Having Multiple Outputs.
Canadian Conference on AI 2008: 296-307 |
| 22 | EE | Elhadi 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) |
| 21 | EE | Daniel L. Silver,
Kristin P. Bennett:
Guest editor's introduction: special issue on inductive transfer learning.
Machine Learning 73(3): 215-220 (2008) |
| 20 | EE | Daniel L. Silver,
Ryan Poirier,
Duane Currie:
Inductive transfer with context-sensitive neural networks.
Machine Learning 73(3): 313-336 (2008) |
| 2007 |
|---|
| 19 | EE | Xiaoyan 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- |
| 17 | EE | Daniel L. Silver,
Robert E. Mercer:
Sequential Inductive Transfer for Coronary Artery Disease Diagnosis.
IJCNN 2007: 2635-2641 |
| 16 | EE | Daniel L. Silver,
Ryan Poirier:
Requirements for Machine Lifelong Learning.
IWINAC (1) 2007: 313-319 |
| 15 | EE | Daniel L. Silver,
Lisa Gaudette,
Ian Spooner:
Inductive transfer applied to stream discharge modeling.
SMC 2007: 528-534 |
| 2006 |
|---|
| 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 |
| 2005 |
|---|
| 12 | | Daniel L. Silver,
Richard Alisch:
A Measure of Relatedness for Selecting Consolidated Task Knowledge.
FLAIRS Conference 2005: 399-404 |
| 11 | EE | James Blustein,
Ching-Lung Fu,
Daniel L. Silver:
Information visualization for an intrusion detection system.
Hypertext 2005: 278-279 |
| 10 | EE | James Blustein,
Daniel L. Silver,
Ching-Lung Fu:
Information Visualization for Intrusion Detection.
PST 2005 |
| 9 | EE | Xiaoyan Peng,
Daniel L. Silver:
User Control over User Adaptation: A Case Study.
User Modeling 2005: 443-447 |
| 2004 |
|---|
| 8 | EE | Daniel L. Silver,
Ryan Poirier:
Sequential Consolidation of Learned Task Knowledge.
Canadian Conference on AI 2004: 217-232 |
| 7 | EE | Ching-Lung Fu,
Daniel L. Silver:
Time-Sensitive Sampling for Spam Filtering.
Canadian Conference on AI 2004: 551-553 |
| 2003 |
|---|
| 6 | EE | Daniel 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 |
| 2002 |
|---|
| 4 | EE | Daniel 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 |
| 1996 |
|---|
| 2 | EE | Daniel 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) |
| 1994 |
|---|
| 1 | EE | Daniel L. Silver,
James W. Hong,
Michael A. Bauer:
X-500 Directory Schema Management.
ICDE 1994: 393-400 |
