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» Bias and Variance Approximation in Value Function Estimates
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TSP
2010
13 years 3 months ago
Noisy data and impulse response estimation
Abstract--This paper investigates the impulse response estimation of linear time-invariant (LTI) systems when only noisy finitelength input-output data of the system is available. ...
Soosan Beheshti, Munther A. Dahleh
EDBT
2009
ACM
131views Database» more  EDBT 2009»
13 years 12 months ago
Sample synopses for approximate answering of group-by queries
With the amount of data in current data warehouse databases growing steadily, random sampling is continuously gaining in importance. In particular, interactive analyses of large d...
Philipp Rösch, Wolfgang Lehner
CSDA
2006
90views more  CSDA 2006»
13 years 8 months ago
Estimation in covariate-adjusted regression
Abstract: The method of covariate adjusted regression was recently proposed for situations where both predictors and response in a regression model are not directly observed, but a...
Damla Sentürk, Danh V. Nguyen
FUIN
2006
95views more  FUIN 2006»
13 years 8 months ago
Bounds for Validation
In this paper we derive the bounds for Validation (known also as Hold-Out Estimate and Train-and-Test Method). We present the best possible bound in the case of 0-1 valued loss fun...
Wojciech Jaworski
BMCBI
2010
124views more  BMCBI 2010»
13 years 8 months ago
Estimation and efficient computation of the true probability of recurrence of short linear protein sequence motifs in unrelated
Background: Large datasets of protein interactions provide a rich resource for the discovery of Short Linear Motifs (SLiMs) that recur in unrelated proteins. However, existing met...
Norman E. Davey, Richard J. Edwards, Denis C. Shie...