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GECCO
2008
Springer
137views Optimization» more  GECCO 2008»
13 years 8 months ago
Informative sampling for large unbalanced data sets
Selective sampling is a form of active learning which can reduce the cost of training by only drawing informative data points into the training set. This selected training set is ...
Zhenyu Lu, Anand I. Rughani, Bruce I. Tranmer, Jos...
MOBICOM
2010
ACM
13 years 7 months ago
Exploiting temporal stability and low-rank structure for localization in mobile networks
Localization is a fundamental operation for many wireless networks. While GPS is widely used for location determination, it is unavailable in many environments either due to its h...
Swati Rallapalli, Lili Qiu, Yin Zhang, Yi-Chao Che...
ICA
2010
Springer
13 years 7 months ago
Probabilistic Latent Tensor Factorization
We develop a probabilistic modeling framework for multiway arrays. Our framework exploits the link between graphical models and tensor factorization models and it can realize any ...
Y. Kenan Yilmaz, A. Taylan Cemgil
ALMOB
2008
82views more  ALMOB 2008»
13 years 7 months ago
Protein sequence and structure alignments within one framework
Background: Protein structure alignments are usually based on very different techniques to sequence alignments. We propose a method which treats sequence, structure and even combi...
Gundolf Schenk, Thomas Margraf, Andrew E. Torda
AUTOMATICA
2007
142views more  AUTOMATICA 2007»
13 years 7 months ago
Lyapunov-based switching control of nonlinear systems using high-gain observers
Abstract— We consider dynamic output feedback practical stabilization of uniformly observable nonlinear systems, based on high-gain observers with saturation. We assume that unce...
Leonid B. Freidovich, Hassan K. Khalil