Modeling fiber type grouping by a binary Markov random field.
作者信息
Howel D
出版信息
Muscle Nerve. 1993 Apr;16(4):429-31. doi: 10.1002/mus.880160415.
PMID:8329017
Abstract
摘要
相似文献
1
Modeling fiber type grouping by a binary Markov random field.通过二元马尔可夫随机场对纤维类型分组进行建模。
Muscle Nerve. 1993 Apr;16(4):429-31. doi: 10.1002/mus.880160415.
2
Modeling fiber type grouping by a binary Markov random field.通过二元马尔可夫随机场对纤维类型分组进行建模。
Muscle Nerve. 1992 Jun;15(6):725-32. doi: 10.1002/mus.880150617.
3
Exploring dependence with data on spatial lattices.利用空间晶格数据探索依赖性。
Biometrics. 2009 Sep;65(3):857-65. doi: 10.1111/j.1541-0420.2008.01118.x. Epub 2008 Aug 28.
4
Probabilistic modeling of single-trial fMRI data.
IEEE Trans Med Imaging. 2000 Jan;19(1):25-35. doi: 10.1109/42.832957.
5
Markov transition models for binary repeated measures with ignorable and nonignorable missing values.具有可忽略和不可忽略缺失值的二元重复测量的马尔可夫转移模型。
Stat Methods Med Res. 2007 Aug;16(4):347-64. doi: 10.1177/0962280206071843.
6
Two sample comparison for large groups of correlated binary responses.大样本相关二元反应的两样本比较。
Stat Med. 1996 Jun 15;15(11):1187-97. doi: 10.1002/(SICI)1097-0258(19960615)15:11<1187::AID-SIM223>3.0.CO;2-I.
7
Fuzzy Markov random fields versus chains for multispectral image segmentation.用于多光谱图像分割的模糊马尔可夫随机场与链
IEEE Trans Pattern Anal Mach Intell. 2006 Nov;28(11):1753-67. doi: 10.1109/TPAMI.2006.228.
8
Modeling animals' behavioral response by Markov chain models for capture-recapture experiments.利用马尔可夫链模型对动物行为反应进行建模以开展重捕实验。
Biometrics. 2005 Dec;61(4):1010-7. doi: 10.1111/j.1541-0420.2005.00372.x.
9
Bayesian hierarchical modeling of drug stability data.药物稳定性数据的贝叶斯层次模型
Stat Med. 2008 Jun 15;27(13):2361-80. doi: 10.1002/sim.3220.
10
Hidden conditional random fields.隐条件随机字段
IEEE Trans Pattern Anal Mach Intell. 2007 Oct;29(10):1848-53. doi: 10.1109/TPAMI.2007.1124.
Zotero 插件