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JMLR
2012
11 years 10 months ago
Multi Kernel Learning with Online-Batch Optimization
In recent years there has been a lot of interest in designing principled classification algorithms over multiple cues, based on the intuitive notion that using more features shou...
Francesco Orabona, Jie Luo, Barbara Caputo
CORR
2008
Springer
127views Education» more  CORR 2008»
13 years 7 months ago
MAPEL: Achieving Global Optimality for a Non-convex Wireless Power Control Problem
Achieving weighted throughput maximization (WTM) through power control has been a long standing open problem in interference-limited wireless networks. The complicated coupling bet...
Liping Qian, Ying Jun Zhang, Jianwei Huang
CDC
2009
IEEE
132views Control Systems» more  CDC 2009»
14 years 4 days ago
Q-learning and Pontryagin's Minimum Principle
Abstract— Q-learning is a technique used to compute an optimal policy for a controlled Markov chain based on observations of the system controlled using a non-optimal policy. It ...
Prashant G. Mehta, Sean P. Meyn
INFOCOM
2006
IEEE
14 years 1 months ago
Cross-Layer Congestion Control, Routing and Scheduling Design in Ad Hoc Wireless Networks
Abstract— This paper considers jointly optimal design of crosslayer congestion control, routing and scheduling for ad hoc wireless networks. We first formulate the rate constrai...
Lijun Chen, Steven H. Low, Mung Chiang, John C. Do...
AUTOMATICA
2007
124views more  AUTOMATICA 2007»
13 years 7 months ago
Motion planning in uncertain environments with vision-like sensors
In this work we present a methodology for intelligent path planning in an uncertain environment using vision like sensors, i.e., sensors that allow the sensing of the environment ...
Suman Chakravorty, John L. Junkins