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» Approximate substring selectivity estimation
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85
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ICPR
2004
IEEE
16 years 2 months ago
Efficient Model Selection for Kernel Logistic Regression
Kernel logistic regression models, like their linear counterparts, can be trained using the efficient iteratively reweighted least-squares (IRWLS) algorithm. This approach suggest...
Gavin C. Cawley, Nicola L. C. Talbot
108
Voted
ICC
2007
IEEE
15 years 8 months ago
Soft Estimation of Time-Varying Frequency Selective Channels Using Kalman Smoothing
— This paper addresses soft estimation of time-varying frequency selective channels using Kalman smoothing. The proposed estimator uses soft extrinsic information provided by a c...
Valery Ramon, Cédric Herzet, Xavier Wautele...
ICASSP
2010
IEEE
15 years 2 months ago
A comparison of approximate Viterbi techniques and particle filtering for data estimation in digital communications
We consider trellis-based algorithms for data estimation in digital communication systems. We present a general framework which includes approximate Viterbi algorithms like the M-...
Steffen Barembruch
115
Voted
ICMCS
2005
IEEE
132views Multimedia» more  ICMCS 2005»
15 years 7 months ago
Approximating the selectivity of multimedia range queries
This paper introduces a new approach of approximating the selectivity of multimedia range queries. Estimating the selectivity of a range query is a pre-requisite to optimize a mul...
Mario Döller, Harald Kosch
113
Voted
CIAC
2000
Springer
121views Algorithms» more  CIAC 2000»
15 years 5 months ago
An Efficient Algorithm for the Approximate Median Selection Problem
We present an efficient algorithm for the approximate median selection problem. The algorithm works in-place; it is fast and easy to implement. For a large array it returns, with ...
Sebastiano Battiato, Domenico Cantone, Dario Catal...