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ML
2007
ACM
127views Machine Learning» more  ML 2007»
13 years 4 months ago
Density estimation with stagewise optimization of the empirical risk
We consider multivariate density estimation with identically distributed observations. We study a density estimator which is a convex combination of functions in a dictionary and ...
Jussi Klemelä
ICASSP
2010
IEEE
13 years 5 months ago
Empirical quantization for sparse sampling systems
We propose a quantization design technique (estimator) suitable for new compressed sensing sampling systems whose ultimate goal is classification or detection. The design is base...
Michael A. Lexa
ICCAD
2008
IEEE
153views Hardware» more  ICCAD 2008»
14 years 2 months ago
Breaking the simulation barrier: SRAM evaluation through norm minimization
— With process variation becoming a growing concern in deep submicron technologies, the ability to efficiently obtain an accurate estimate of failure probability of SRAM compone...
Lara Dolecek, Masood Qazi, Devavrat Shah, Anantha ...
JMLR
2002
90views more  JMLR 2002»
13 years 5 months ago
Machine Learning with Data Dependent Hypothesis Classes
We extend the VC theory of statistical learning to data dependent spaces of classifiers. This theory can be viewed as a decomposition of classifier design into two components; the...
Adam Cannon, J. Mark Ettinger, Don R. Hush, Clint ...
ICML
2006
IEEE
14 years 6 months ago
Cost-sensitive learning with conditional Markov networks
There has been a recent, growing interest in classification and link prediction in structured domains. Methods such as conditional random fields and relational Markov networks sup...
Prithviraj Sen, Lise Getoor