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KDD
2004
ACM
166views Data Mining» more  KDD 2004»
14 years 8 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
WISE
2006
Springer
14 years 1 months ago
Finding Reliable Recommendations for Trust Model
This paper presents a novel context-based approach to find reliable recommendations for trust model in ubiquitous environments. Context is used in our approach to analyze the userā...
Weiwei Yuan, Donghai Guan, Sungyoung Lee, Young-Ko...
AAAI
1996
13 years 9 months ago
Integrating Grid-Based and Topological Maps for Mobile Robot Navigation
Research on mobile robot navigation has produced two major paradigms for mapping indoorenvironments: grid-based and topological. While grid-based methods produce accurate metric m...
Sebastian Thrun, Arno Bücken
IJCNN
2008
IEEE
14 years 2 months ago
On-line bagging Negative Correlation Learning
ā€” Negative Correlation Learning (NCL) has been showing to outperform other ensemble learning approaches in off-line mode. A key point to the success of NCL is that the learning o...
Fernanda L. Minku, Xin Yao
IJCNN
2008
IEEE
14 years 2 months ago
Support vector machines and dynamic time warping for time series
ā€” Effective use of support vector machines (SVMs) in classiļ¬cation necessitates the appropriate choice of a kernel. Designing problem speciļ¬c kernels involves the deļ¬nition...
Steinn Gudmundsson, Thomas Philip Runarsson, Sven ...