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FOCM
2006
97views more  FOCM 2006»
15 years 6 months ago
Learning Rates of Least-Square Regularized Regression
This paper considers the regularized learning algorithm associated with the leastsquare loss and reproducing kernel Hilbert spaces. The target is the error analysis for the regres...
Qiang Wu, Yiming Ying, Ding-Xuan Zhou
CORR
2007
Springer
75views Education» more  CORR 2007»
15 years 6 months ago
Wavelet Based Semi-blind Channel Estimation For Multiband OFDM
— This paper introduces an expectation-maximization (EM) algorithm within a wavelet domain Bayesian framework for semi-blind channel estimation of multiband OFDM based UWB commun...
Sajad Sadough, Mahieddine Ichir, Emmanuel Jaffrot,...
JMLR
2006
92views more  JMLR 2006»
15 years 6 months ago
Linear Programs for Hypotheses Selection in Probabilistic Inference Models
We consider an optimization problem in probabilistic inference: Given n hypotheses Hj, m possible observations Ok, their conditional probabilities pk j, and a particular Ok, selec...
Anders Bergkvist, Peter Damaschke, Marcel Lüt...
ENTCS
2007
115views more  ENTCS 2007»
15 years 6 months ago
Self Management and the Future of Software Design
Most software is fragile: even the slightest error, such as changing a single bit, can make it crash. As software complexity has increased, development techniques have kept pace t...
Peter Van Roy
JUCS
2006
95views more  JUCS 2006»
15 years 6 months ago
Fault Tolerant Neural Predictors for Compression of Sensor Telemetry Data
: When dealing with remote systems, it is desirable that these systems are capable of operation within acceptable levels with minimal control and maintenance. In terms or transmiss...
Rajasvaran Logeswaran