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» On Conditions for Linearity of Optimal Estimation
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BMCBI
2006
103views more  BMCBI 2006»
14 years 12 months ago
Probe-level linear model fitting and mixture modeling results in high accuracy detection of differential gene expression
Background: The identification of differentially expressed genes (DEGs) from Affymetrix GeneChips arrays is currently done by first computing expression levels from the low-level ...
Sébastien Lemieux
COLT
2008
Springer
15 years 1 months ago
High-Probability Regret Bounds for Bandit Online Linear Optimization
We present a modification of the algorithm of Dani et al. [8] for the online linear optimization problem in the bandit setting, which with high probability has regret at most O ( ...
Peter L. Bartlett, Varsha Dani, Thomas P. Hayes, S...
ASIAN
2004
Springer
69views Algorithms» more  ASIAN 2004»
15 years 5 months ago
Using Optimal Golomb Rulers for Minimizing Collisions in Closed Hashing
Abstract. We give conditions for hash table probing which minimize the expected number of collisions. A probing algorithm is determined by a sequence of numbers denoting jumps for ...
Lars Lundberg, Håkan Lennerstad, Kamilla Klo...
CORR
2010
Springer
140views Education» more  CORR 2010»
14 years 12 months ago
Energy Optimization across Training and Data for Multiuser Minimum Sum-MSE Linear Precoding
This paper considers minimum sum mean-squared error (sum-MSE) linear transceiver designs in multiuser downlink systems with imperfect channel state information. Specifically, we de...
Adam J. Tenenbaum, Raviraj S. Adve
DAGM
2009
Springer
15 years 3 months ago
An Efficient Linear Method for the Estimation of Ego-Motion from Optical Flow
Abstract. Approaches to visual navigation, e.g. used in robotics, require computationally efficient, numerically stable, and robust methods for the estimation of ego-motion. One of...
Florian Raudies, Heiko Neumann