This paper presents a new algorithm for jointly optimal control of session rate, link attempt rate, and link power in contention based MultiHop Wireless Networks. Formulating the ...
This paper describes LS/ATN, Living Systems R Adaptive Transportation Networks, an agent-based solution we have developed to solve transportation problems in the charter business ...
The problem of target localization involves estimating the position of a target from multiple and typically noisy measurements of the target position. It is well known that the re...
Adrian N. Bishop, Baris Fidan, Brian D. O. Anderso...
The Lasso is a popular technique for joint estimation and continuous variable selection, especially well-suited for sparse and possibly under-determined linear regression problems....
Supervised learning deals with the inference of a distribution over an output or label space $\CY$ conditioned on points in an observation space $\CX$, given a training dataset $D$...