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» Power and sample size estimation in microarray studies
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NIPS
2001
15 years 3 months ago
Variance Reduction Techniques for Gradient Estimates in Reinforcement Learning
Policy gradient methods for reinforcement learning avoid some of the undesirable properties of the value function approaches, such as policy degradation (Baxter and Bartlett, 2001...
Evan Greensmith, Peter L. Bartlett, Jonathan Baxte...
CORR
2006
Springer
96views Education» more  CORR 2006»
15 years 1 months ago
How accurate are the time delay estimates in gravitational lensing?
We present a novel approach to estimate the time delay between light curves of multiple images in a gravitationally lensed system, based on Kernel methods in the context of machine...
Juan C. Cuevas-Tello, Peter Tino, Somak Raychaudhu...
CORR
2010
Springer
186views Education» more  CORR 2010»
15 years 2 months ago
Channel Estimation for Opportunistic Spectrum Access: Uniform and Random Sensing
The knowledge of channel statistics can be very helpful in making sound opportunistic spectrum access decisions. It is therefore desirable to be able to efficiently and accurately...
Quanquan Liang, Mingyan Liu
ICASSP
2011
IEEE
14 years 5 months ago
Mixture Kalman filtering for joint carrier recovery and channel estimation in time-selective Rayleigh fading channels
This paper proposes a new blind algorithm, based on Mixture Kalman Filtering (MKF), for joint carrier recovery and channel estimation in time-selective Rayleigh fading channels. M...
Ali A. Nasir, Salman Durrani, Rodney A. Kennedy
BIOINFORMATICS
2004
119views more  BIOINFORMATICS 2004»
15 years 1 months ago
Analysis of variance components in gene expression data
Motivation: A microarray experiment is a multi-step process, and each step is a potential source of variation. There are two major sources of variation: biological variation and t...
James J. Chen, Robert R. Delongchamp, Chen-An Tsai...