2 papers
cs.AI2006
Scalable Algorithms for Aggregating Disparate Forecasts of Probability
Joel B. Predd, Sanjeev R. Kulkarni, Daniel N. Osherson +1
In this paper, computational aspects of the panel aggregation problem are addressed. Motivated primarily by applications of risk assessment, an algorithm is developed for aggregati…
cs.LG2005
Distributed Regression in Sensor Networks: Training Distributively with Alternating Projections
Joel B. Predd, Sanjeev R. Kulkarni, H. Vincent Poor
Wireless sensor networks (WSNs) have attracted considerable attention in recent years and motivate a host of new challenges for distributed signal processing. The problem of distri…