Joel B. Predd, Ph.D.
Affiliations: | 2006 | Princeton University, Princeton, NJ |
Area:
Information Sciences & SystemsGoogle:
"Joel Predd"Parents
Sign in to add mentor| Sanjeev R. Kulkarni | grad student | 2006 | Princeton | |
| (Topics in distributed inference.) | ||||
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Publications
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| Predd JB, Seiringer R, Lieb EH, et al. (2009) Probabilistic coherence and proper scoring rules Ieee Transactions On Information Theory. 55: 4786-4792 |
| Predd JB, Kulkarni SR, Poor HV. (2009) A collaborative training algorithm for distributed learning Ieee Transactions On Information Theory. 55: 1856-1871 |
| Predd JB, Kulkarni SR, Poor HV. (2007) A collaborative training algorithm for multi-sensor adaptive processing 2007 2nd Ieee International Workshop On Computational Advances in Multi-Sensor Adaptive Processing, Campsap. 297-300 |
| Predd JB, Kulkarni SR, Poor HV. (2007) Distributed Learning in Wireless Sensor Networks Wireless Sensor Networks: Signal Processing and Communications Perspectives. 185-214 |
| Predd JB, Kulkarni SR, Poor HV. (2006) Consistency in models for distributed learning under communication constraints Ieee Transactions On Information Theory. 52: 52-63 |
| Predd JB, Kulkarni SR, Poor HV, et al. (2006) Scalable algorithms for aggregating disparate forecasts of probability 2006 9th International Conference On Information Fusion, Fusion |
| Predd JB, Kulkarni SR, Poor HV. (2006) Distributed kernel regression: An algorithm for training collaboratively 2006 Ieee Information Theory Workshop, Itw 2006. 332-336 |
| Predd JB, Kulkarni SR, Vincent Poor H. (2005) Regression in sensor networks: Training distributively with alternating projections Proceedings of Spie - the International Society For Optical Engineering. 5910: 1-15 |
| Predd JB, Kulkarni SR, Poor HV. (2004) Consistency in models for communication constrained distributed learning Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science). 3120: 442-456 |
| Predd JB, Kulkarni SR, Poor HV. (2004) Consistency in a model for distributed learning with specialists Ieee International Symposium On Information Theory - Proceedings. 465 |