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TNN
2008
181views more  TNN 2008»
15 years 6 months ago
Optimized Approximation Algorithm in Neural Networks Without Overfitting
In this paper, an optimized approximation algorithm (OAA) is proposed to address the overfitting problem in function approximation using neural networks (NNs). The optimized approx...
Yinyin Liu, Janusz A. Starzyk, Zhen Zhu
174
Voted
KDD
2004
ACM
166views Data Mining» more  KDD 2004»
16 years 6 months ago
Predicting prostate cancer recurrence via maximizing the concordance index
In order to effectively use machine learning algorithms, e.g., neural networks, for the analysis of survival data, the correct treatment of censored data is crucial. The concordan...
Lian Yan, David Verbel, Olivier Saidi
192
Voted
AFRIGRAPH
2001
ACM
15 years 9 months ago
Expressive textures
If a moving image is more expressive than words or than a still image, then an animated facial expression can explain more in depth the feelings of a virtual character. Facial ani...
K. Fei
ICSE
2000
IEEE-ACM
15 years 9 months ago
Galileo: a tool built from mass-market applications
We present Galileo, an innovative engineering modeling and analysis tool built using an approach we call packageoriented programming (POP). Galileo represents an ongoing evaluatio...
David Coppit, Kevin J. Sullivan
ICPR
2006
IEEE
16 years 7 months ago
Part-Based Probabilistic Point Matching
Correspondence algorithms typically struggle with shapes that display part-based variation. We present a probabilistic approach that matches shapes using independent part transfor...
Graham McNeill, Sethu Vijayakumar
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