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» Dependence Modeling for Stochastic Simulation
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152
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ICML
2010
IEEE
15 years 5 months ago
Asymptotic Analysis of Generative Semi-Supervised Learning
Semi-supervised learning has emerged as a popular framework for improving modeling accuracy while controlling labeling cost. Based on an extension of stochastic composite likeliho...
Joshua Dillon, Krishnakumar Balasubramanian, Guy L...
TROB
2008
113views more  TROB 2008»
15 years 3 months ago
Occam's Razor Applied to Network Topology Inference
We present a method for inferring the topology of a sensor network given nondiscriminating observations of activity in the monitored region. This is accomplished based on no prior ...
Dimitri Marinakis, Gregory Dudek
117
Voted
ISSE
2010
15 years 2 months ago
A second look at Faster, Better, Cheaper
“Faster, Better, Cheaper” (FBC) was a systems development methodology used by NASA in the 1990s. While usually a deprecated practice, we find that, with certain caveats, it is...
Oussama El-Rawas, Tim Menzies
ISCI
2000
98views more  ISCI 2000»
15 years 3 months ago
Quantum decision-maker
A quantum device simulating human decision making process is introduced. It consists of quantum recurrent nets generating stochastic processes which represent the motor dynamics, ...
Michail Zak
168
Voted
ICNSC
2008
IEEE
15 years 10 months ago
Cscan: A Correlation-based Scheduling Algorithm for Wireless Sensor Networks
— Dynamic scheduling management in wireless sensor networks is one of the most challenging problems in long lifetime monitoring applications. In this paper, we propose and evalua...
Qingquan Zhang, Yu Gu, Tian He, Gerald E. Sobelman