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» On Conditions for Linearity of Optimal Estimation
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BMCBI
2006
103views more  BMCBI 2006»
14 years 9 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
14 years 11 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 3 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 9 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 1 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