Survival Forest for Left-Truncated Right-Censored Data

IF 0.7 Q4 COMPUTER SCIENCE, SOFTWARE ENGINEERING Image Processing On Line Pub Date : 2024-07-16 DOI:10.5201/ipol.2024.466
Vincent Laurent, Olivier Vo Van
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左截断右删失数据的生存森林
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来源期刊
Image Processing On Line
Image Processing On Line COMPUTER SCIENCE, SOFTWARE ENGINEERING-
CiteScore
1.90
自引率
0.00%
发文量
23
审稿时长
16 weeks
期刊介绍: IPOL publishes relevant image processing and image analysis algorithms emphasizing the role of mathematics as a source for algorithm design. The publication is as precise and comprehensive as possible. To this aim, the publication of each algorithm is fourfold and includes: a manuscript containing the detailed description of the published algorithm, of its bibliography, along with commented examples and a failure case analysis; a software implementation of the algorithm in C, C++ or Matlab; an online demo, where the algorithm can be tested on data sets uploaded by the users; an archive containing extensive online experiments. The restricted goal of IPOL is to make accessible the algorithms in their uttermost explicit form to the scientific community. The publication of an algorithm by IPOL is different from, and complementary to a classic journal publication.
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