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» On Threshold BDDs and the Optimal Variable Ordering Problem
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STOC
2005
ACM
129views Algorithms» more  STOC 2005»
14 years 6 months ago
Learning with attribute costs
We study an extension of the "standard" learning models to settings where observing the value of an attribute has an associated cost (which might be different for differ...
Haim Kaplan, Eyal Kushilevitz, Yishay Mansour
EUROCAST
2007
Springer
182views Hardware» more  EUROCAST 2007»
14 years 12 days ago
A k-NN Based Perception Scheme for Reinforcement Learning
Abstract a paradigm of modern Machine Learning (ML) which uses rewards and punishments to guide the learning process. One of the central ideas of RL is learning by “direct-online...
José Antonio Martin H., Javier de Lope Asia...
SAC
2010
ACM
14 years 1 months ago
Tracking random finite objects using 3D-LIDAR in marine environments
This paper presents a random finite set theoretic formulation for multi-object tracking as perceived by a 3D-LIDAR in a dynamic environment. It is mainly concerned with the joint...
Kwang Wee Lee, Bharath Kalyan, W. Sardha Wijesoma,...
TIP
2008
169views more  TIP 2008»
13 years 6 months ago
Maximum Likelihood Wavelet Density Estimation With Applications to Image and Shape Matching
Density estimation for observational data plays an integral role in a broad spectrum of applications, e.g. statistical data analysis and information-theoretic image registration. ...
Adrian M. Peter, Anand Rangarajan
ICDE
2011
IEEE
244views Database» more  ICDE 2011»
12 years 10 months ago
Algorithms for local sensor synchronization
— In a wireless sensor network (WSN), each sensor monitors environmental parameters, and reports its readings to a base station, possibly through other nodes. A sensor works in c...
Lixing Wang, Yin Yang, Xin Miao, Dimitris Papadias...