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» Distributionally Robust Optimization and Its Tractable Appro...
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UAI
2008
15 years 1 months ago
Learning Arithmetic Circuits
Graphical models are usually learned without regard to the cost of doing inference with them. As a result, even if a good model is learned, it may perform poorly at prediction, be...
Daniel Lowd, Pedro Domingos
CORR
2002
Springer
113views Education» more  CORR 2002»
14 years 11 months ago
Robust Global Localization Using Clustered Particle Filtering
Global mobile robot localization is the problem of determining a robot's pose in an environment, using sensor data, when the starting position is unknown. A family of probabi...
Javier Nicolás Sánchez, Adam Milstei...
INFOCOM
2003
IEEE
15 years 5 months ago
Time-Optimal Network Queue Control: The Case of a Single Congested Node
-We solve the problem of time-optimal network queue control: what are the input data rates that make network queue sizes converge to their ideal size in the least possible time aft...
Mahadevan Iyer, Wei Kang Tsai
IAT
2005
IEEE
15 years 5 months ago
Decomposing Large-Scale POMDP Via Belief State Analysis
Partially observable Markov decision process (POMDP) is commonly used to model a stochastic environment with unobservable states for supporting optimal decision making. Computing ...
Xin Li, William K. Cheung, Jiming Liu
WINE
2010
Springer
148views Economy» more  WINE 2010»
14 years 9 months ago
False-Name-Proofness in Social Networks
In mechanism design, the goal is to create rules for making a decision based on the preferences of multiple parties (agents), while taking into account that agents may behave stra...
Vincent Conitzer, Nicole Immorlica, Joshua Letchfo...