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JMLR
2006
134views more  JMLR 2006»
15 years 7 months ago
Considering Cost Asymmetry in Learning Classifiers
Receiver Operating Characteristic (ROC) curves are a standard way to display the performance of a set of binary classifiers for all feasible ratios of the costs associated with fa...
Francis R. Bach, David Heckerman, Eric Horvitz
JSAC
2006
106views more  JSAC 2006»
15 years 7 months ago
Study of BGP Peering Session Attacks and Their Impacts on Routing Performance
We present a detailed study of the potential impact of BGP peering session attacks and the resulting exploitation of Route Flap Damping (RFD) that cause network-wide routing disrup...
Kotikalapudi Sriram, Doug Montgomery, Oliver Borch...
184
Voted
NC
2008
120views Neural Networks» more  NC 2008»
15 years 7 months ago
Combining self-healing and proofreading in self-assembly
Molecular self-assembly is a promising approach to bottom-up fabrication of complex structures. A major impediment to the practical use of self-assembly to create complex structure...
David Soloveichik, Matthew Cook, Erik Winfree
NN
2008
Springer
201views Neural Networks» more  NN 2008»
15 years 7 months ago
Learning representations for object classification using multi-stage optimal component analysis
Learning data representations is a fundamental challenge in modeling neural processes and plays an important role in applications such as object recognition. In multi-stage Optima...
Yiming Wu, Xiuwen Liu, Washington Mio
ML
2006
ACM
121views Machine Learning» more  ML 2006»
15 years 7 months ago
Model-based transductive learning of the kernel matrix
This paper addresses the problem of transductive learning of the kernel matrix from a probabilistic perspective. We define the kernel matrix as a Wishart process prior and construc...
Zhihua Zhang, James T. Kwok, Dit-Yan Yeung