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159
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HICSS
2007
IEEE
125views Biometrics» more  HICSS 2007»
15 years 10 months ago
Stochastic Model for Power Grid Dynamics
We introduce a stochastic model that describes the quasistatic dynamics of an electric transmission network under perturbations introduced by random load fluctuations, random rem...
Marian Anghel, Kenneth A. Werley, Adilson E. Motte...
106
Voted
ICDM
2007
IEEE
99views Data Mining» more  ICDM 2007»
15 years 10 months ago
Optimizing Frequency Queries for Data Mining Applications
Data mining algorithms use various Trie and bitmap-based representations to optimize the support (i.e., frequency) counting performance. In this paper, we compare the memory requi...
Hassan H. Malik, John R. Kender
157
Voted
IJCNN
2007
IEEE
15 years 10 months ago
Generalised Kernel Machines
Abstract— The generalised linear model (GLM) is the standard approach in classical statistics for regression tasks where it is appropriate to measure the data misfit using a lik...
Gavin C. Cawley, Gareth J. Janacek, Nicola L. C. T...
132
Voted
GECCO
2007
Springer
256views Optimization» more  GECCO 2007»
15 years 10 months ago
A particle swarm optimization approach for estimating parameter confidence regions
Point estimates of the parameters in real world models convey valuable information about the actual system. However, parameter comparisons and/or statistical inference requires de...
Praveen Koduru, Stephen Welch, Sanjoy Das
141
Voted
WAPCV
2007
Springer
15 years 9 months ago
Language Label Learning for Visual Concepts Discovered from Video Sequences
Computational models of grounded language learning have been based on the premise that words and concepts are learned simultaneously. Given the mounting cognitive evidence for conc...
Prithwijit Guha, Amitabha Mukerjee