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PAMI
2010
132views more  PAMI 2010»
15 years 2 months ago
Maximum Likelihood Model Selection for 1-Norm Soft Margin SVMs with Multiple Parameters
—Adapting the hyperparameters of support vector machines (SVMs) is a challenging model selection problem, especially when flexible kernels are to be adapted and data are scarce....
Tobias Glasmachers, Christian Igel
SMA
2010
ACM
192views Solid Modeling» more  SMA 2010»
14 years 11 months ago
Infinitesimally Robust estimation in general smoothly parametrized models
Abstract The aim of the paper is to give a coherent account of the robustness approach based on shrinking neighborhoods in the case of i.i.d. observations, and add some theoretical...
Matthias Kohl, Peter Ruckdeschel, Helmut Rieder
BSN
2009
IEEE
140views Sensor Networks» more  BSN 2009»
15 years 11 months ago
A Distributed Hidden Markov Model for Fine-grained Annotation in Body Sensor Networks
—Human movement models often divide movements into parts. In walking the stride can be segmented into four different parts, and in golf and other sports, the swing is divided int...
Eric Guenterberg, Hassan Ghasemzadeh, Roozbeh Jafa...
IJCNN
2006
IEEE
15 years 10 months ago
Improvement of an Artificial Neural Network Model using Min-Max Preprocessing for the Prediction of Wave-induced Seabed Liquefac
—In the past decade, artificial neural networks (ANNs) have been widely applied to the engineering problems with a complicated system. ANNs are becoming an important alternative ...
Deaho Cha, Michael Blumenstein, Hong Zhang, Dong-S...
SIGCPR
2006
ACM
346views Hardware» more  SIGCPR 2006»
15 years 10 months ago
An extension of the UTAUT model with e-quality, trust, and satisfaction constructs
This research seeks to validate a comprehensive model of quality in the context of e-business systems. It also extends the UTAUT model with e-quality, trust, and satisfaction cons...
Erin Cody-Allen, Rajiv Kishore