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» Missing Data Estimation Using Polynomial Kernels
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ICPP
2009
IEEE
15 years 9 months ago
Generalizing k-Betweenness Centrality Using Short Paths and a Parallel Multithreaded Implementation
We present a new parallel algorithm that extends and generalizes the traditional graph analysis metric of betweenness centrality to include additional non-shortest paths according...
Karl Jiang, David Ediger, David A. Bader
ICML
2006
IEEE
16 years 3 months ago
Kernel Predictive Linear Gaussian models for nonlinear stochastic dynamical systems
The recent Predictive Linear Gaussian model (or PLG) improves upon traditional linear dynamical system models by using a predictive representation of state, which makes consistent...
David Wingate, Satinder P. Singh
ICANN
2001
Springer
15 years 7 months ago
Incremental Support Vector Machine Learning: A Local Approach
Abstract. In this paper, we propose and study a new on-line algorithm for learning a SVM based on Radial Basis Function Kernel: Local Incremental Learning of SVM or LISVM. Our meth...
Liva Ralaivola, Florence d'Alché-Buc
133
Voted
AMW
2010
15 years 4 months ago
Multiresolution Cube Estimators for Sensor Network Aggregate Queries
In this work we present in-network techniques to improve the efficiency of spatial aggregate queries. Such queries are very common in a sensornet setting, demanding more targeted t...
Alexandra Meliou, Carlos Guestrin, Joseph M. Helle...
TIP
2008
113views more  TIP 2008»
15 years 2 months ago
Phase Local Approximation (PhaseLa) Technique for Phase Unwrap From Noisy Data
The local polynomial approximation (LPA) is a nonparametric regression technique with pointwise estimation in a sliding window. We apply the LPA of the argument of cos and sin in o...
Vladimir Katkovnik, Jaakko Astola, Karen O. Egiaza...