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ESEM
2007
ACM
15 years 3 months ago
The Effects of Over and Under Sampling on Fault-prone Module Detection
The goal of this paper is to improve the prediction performance of fault-prone module prediction models (fault-proneness models) by employing over/under sampling methods, which ar...
Yasutaka Kamei, Akito Monden, Shinsuke Matsumoto, ...
IROS
2006
IEEE
133views Robotics» more  IROS 2006»
15 years 5 months ago
Adapting Playgrounds for Children's Play using Ambient Playware
— This paper presents an approach on how to adapt playgrounds using artificial neural networks (ANN). The playground consists of small tiles each capable of outputting coloured ...
Alireza Derakhshan, Frodi Hammer, Henrik Hautop Lu...
IJCNN
2007
IEEE
15 years 6 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...
AINA
2009
IEEE
15 years 6 months ago
Modeling Web Request and Session Level Arrivals
This paper is focused on modeling Web request and session level arrival processes. We propose a statistically rigorous approach which includes testing for non-stationarity and Gau...
Xuan Wang, Katerina Goseva-Popstojanova
ITS
2004
Springer
155views Multimedia» more  ITS 2004»
15 years 5 months ago
Modeling the Development of Problem Solving Skills in Chemistry with a Web-Based Tutor
This research describes a probabilistic approach for developing predictive models of how students learn problem-solving skills in general qualitative chemistry. The goal is to use ...
Ron Stevens, Amy Soller, Melanie Cooper, Marcia Sp...