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SDM
2012
SIAM
261views Data Mining» more  SDM 2012»
11 years 9 months ago
Combining Active Learning and Dynamic Dimensionality Reduction
To date, many active learning techniques have been developed for acquiring labels when training data is limited. However, an important aspect of the problem has often been neglect...
Mustafa Bilgic
TACAS
2012
Springer
288views Algorithms» more  TACAS 2012»
12 years 2 months ago
Reduction-Based Formal Analysis of BGP Instances
Today’s Internet interdomain routing protocol, the Border Gateway Protocol (BGP), is increasingly complicated and fragile due to policy misconfigurations by individual autonomou...
Anduo Wang, Carolyn L. Talcott, Alexander J. T. Gu...
CDC
2009
IEEE
115views Control Systems» more  CDC 2009»
14 years 2 days ago
An error bound for model reduction of Lur'e-type systems
— In general, existing model reduction techniques for stable nonlinear systems lack a guarantee on stability of the reduced-order model, as well as an error bound. In this paper,...
Bart Besselink, Nathan van de Wouw, Henk Nijmeijer
AMC
2005
148views more  AMC 2005»
13 years 7 months ago
Review of model order reduction methods for numerical simulation of nonlinear circuits
In this paper, we reviewed several newly presented nonlinear model order reduction methods, we analyze these methods theoretically and with experiments in detail. We show the prob...
Lihong Feng
CAV
2009
Springer
184views Hardware» more  CAV 2009»
14 years 8 months ago
Monotonic Partial Order Reduction: An Optimal Symbolic Partial Order Reduction Technique
Abstract. We present a new technique called Monotonic Partial Order Reduction (MPOR) that effectively combines dynamic partial order reduction with symbolic state space exploration...
Vineet Kahlon, Chao Wang, Aarti Gupta