Search Results for author:
Found 8 papers, 0 papers with code
Dissecting Medical Referral Mechanisms in Health Services: Role of Physician Professional Networks
Medical referrals between primary care physicians (PC) and specialist care (SC) physicians profoundly impact patient care regarding quality, satisfaction, and cost.
ISEE.U: Distributed online active target localization with unpredictable targets
This paper addresses target localization with an online active learning algorithm defined by distributed, simple and fast computations at each node, with no parameters to tune and where the estimate of the target position at each agent is asymptotically equal in expectation to the centralized maximum-likelihood estimator.
COSMIC: fast closed-form identification from large-scale data for LTV systems
To prove its applicability to real world systems, we test with spring-mass-damper system and use the estimated model to find the optimal control path.
Decision Support Models for Predicting and Explaining Airport Passenger Connectivity from Data
Predicting if passengers in a connecting flight will lose their connection is paramount for airline profitability.
STRONG: Synchronous and asynchronous RObust Network localization, under Non-Gaussian noise
We convexify and change the problem representation, to allow for distributed robust localization algorithms: a synchronous distributed method that has optimal convergence rate and an asynchronous one with proven convergence guarantees.
Range and Bearing Data Fusion for Precise Convex Network Localization
Hybrid localization in GNSS-challenged environments using measured ranges and angles is becoming increasingly popular, in particular with the advent of multimodal communication systems.
Accurate, Interpretable, and Fast Animation: An Iterative, Sparse, and Nonconvex Approach
Our approach is model-based, but in contrast with previous model-based approaches, we use a quadratic instead of the linear approximation to the higher order rig model.
Conjunction Data Messages behave as a Poisson Process
(2) When exactly and with what uncertainty will the next message arrive?
