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» Using model knowledge for learning inverse dynamics
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111
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ECIS
2000
15 years 5 months ago
Different Pre-Processing Models for Financial Accounts when using Neural Networks for Auditing
The aim of this study is to investigate the impact of various pre-processing models on the forecast capability of artificial neural network (ANN) when auditing financial accounts. ...
Eija Koskivaara
140
Voted
JCM
2008
104views more  JCM 2008»
15 years 3 months ago
An OFDM Symbol Design for Reduced Complexity MMSE Channel Estimation
In this paper we revisit the minimum mean square error (MMSE) pilot-aided channel estimation for broadband orthogonal frequency division multiplexing (OFDM) systems. The careful de...
Carlos Ribeiro, Atílio Gameiro
122
Voted
IJCAI
2007
15 years 5 months ago
WiFi-SLAM Using Gaussian Process Latent Variable Models
WiFi localization, the task of determining the physical location of a mobile device from wireless signal strengths, has been shown to be an accurate method of indoor and outdoor l...
Brian Ferris, Dieter Fox, Neil D. Lawrence
ITS
2010
Springer
155views Multimedia» more  ITS 2010»
15 years 8 months ago
Generating Proactive Feedback to Help Students Stay on Track
In a tutoring system based on an exploratory environment, it is also important to provide direct guidance to students. We endowed iList, our linked list tutor, with the ability to ...
Davide Fossati, Barbara Di Eugenio, Stellan Ohlsso...
193
Voted
CVPR
2012
IEEE
13 years 6 months ago
Background modeling using adaptive pixelwise kernel variances in a hybrid feature space
Recent work on background subtraction has shown developments on two major fronts. In one, there has been increasing sophistication of probabilistic models, from mixtures of Gaussi...
Manjunath Narayana, Allen R. Hanson, Erik G. Learn...