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http://www1.cs.columbia.edu/~pks2103/pubs/ccls-07-03.pdf
A Support Vector Approach to Censored Targets Pannagadatta K. Shivaswamy Wei Chu Martin Jansche Center for Computational Learning Systems Columbia University New York, NY, 10115 pks2103,chuwei,[email protected] ABSTRACT Censored targets, such as the time to events in survival analysis, can generally be represented by intervals on the real ...
https://www.researchgate.net/publication/4324153_A_Support_Vector_Approach_to_Censored_Targets
Censored targets, such as the time to events in survival analysis, can generally be represented by intervals on the real line. In this paper, we propose a novel support vector technique (named ...
https://research.google/pubs/pub34327/
Censored targets, such as the time to events in survival analysis, can generally be represented by intervals on the real line. In this paper, we propose a novel support vector technique (named SVCR) for regression on censored targets.
https://core.ac.uk/display/20827785
A Support Vector Approach to Censored Targets . By Pannagadatta K. Shivaswamy, Wei Chu and Martin Jansche. Abstract. Censored targets, such as the time to events in survival analysis, can generally be represented by intervals on the real line. In this paper, we propose a novel support vector technique (named SVCR) for regression on censored ...
http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.117.3852
CiteSeerX - Document Details (Isaac Councill, Lee Giles, Pradeep Teregowda): Censored targets, such as the time to events in survival analysis, can generally be represented by intervals on the real line. In this paper, we propose a novel support vector technique (named SVCR) for regression on censored targets. Interestingly, this approach provides a general formulation for both standard ...
https://www.infona.pl/resource/bwmeta1.element.ieee-art-000004470306
Censored targets, such as the time to events in survival analysis, can generally be represented by intervals on the real line. In this paper, we propose a novel support vector technique (named SVCR) for regression on censored targets. SVCR inherits the strengths of support vector methods, such as a globally optimal solution by convex programming, fast training speed and strong generalization ...
https://ai.google/research/pubs/pub34327
Censored targets, such as the time to events in survival analysis, can generally be represented by intervals on the real line. In this paper, we propose a novel support vector technique (named SVCR) for regression on censored targets.Cited by: 115
https://projecteuclid.org/euclid.ejs/1488423807
P. K. Shivaswamy, W. Chu, and M. Jansche. A support vector approach to censored targets. In, Proceedings of the 7th IEEE International Conference on Data Mining (ICDM ...Author: Yair Goldberg, Michael R. Kosorok
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5108874/
Survival Prediction and Feature Selection in Patients with Breast Cancer Using Support Vector Regression. ... Shivaswamy et al. proposed a modified SVR algorithm for survival analysis. Ding ... Chu W., Jansche M. A support vector approach to censored targets. Proceedings of the 7th IEEE International Conference on Data Mining (ICDM '07 ...Cited by: 5
https://dl.acm.org/doi/10.1016/j.artmed.2011.06.006
A support vector approach to censored targets. In: Proceedings of the 2007 Seventh IEEE International Conference on Data Mining (ICDM), IEEE Computer Society, California. pp. 655-660. Google Scholar Digital Library [13]. Khan, F.M. and Zubek, V.B., Support vector regression for censored data (SVRc): a novel tool for survival analysis.
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