1) nearest neighbor bootstrap
最近邻自展
1.
Based on shortcoming and virtue of the nonparametric nearest neighbor bootstraping model, a perturbing nearest neighbor bootstraping model has been presented and was applied to the stochastic generation of flood time series at single station and multi stations.
首先介绍非参数最近邻自展模型原理并进行改进,提出了非参数扰动最近邻自展模型(简记PNNB),然后将PNNB模型应用于洪水随机模拟。
2) adaptive nearest neighbor
自适应最近邻
1.
An adaptive nearest neighbor locally linear embedding algorithm is proposed to overcome this shortage.
针对这个缺点,提出了一种改进的、基于自适应最近邻法的局部线性嵌入方法,数值实验证明算法对于有监督的学习问题,具有较好的适应性。
3) nearest neighbors
最近邻近
4) point pattern analysis for plant population
种群扩展最近邻体分析
5) the Zone of Proximal Development
最邻近发展区理论
6) K-nearest neighbor
K-最近邻
1.
Development and improvement of K-Nearest Neighbor clustering technique
K-最近邻分类技术的新发展与技术改进
2.
To further understand the quantitative structure-activity relationship(QSAR)of fluorine-containing pesticide and improve the prediction precision of QSAR models,a novel nonlinear combinatorial forecast me-thod named Multi-KNN-SVR,multi-K-nearest neighbor based on support vector regression,was proposed.
为深入认识含氟农药生物活性与其结构之间的关系,建立了理想的QSAR模型,从化合物油水分配系数等7个分子结构描述符出发,基于支持向量回归(SVR)和MSE最小原则,经自动寻找最优核函数和非线性筛选描述符,构建了多个K-最近邻(KNN)预测子模型。
3.
In order to improve the predication precision of quantitative structure-activity relationship(QSAR) model,a novel combinatorial k-nearest neighbor method based on support vector machine regression(SVR-CKNN) was proposed,which could screen descriptors automatically and then builds several k-nearest neighbor models for combinatorial forecast.
该法基于支持向量机回归(SVR)自动筛选化合物结构描述符,以k-最近邻建立多个子模型实施组合预测(CKNN)。
补充资料:齐展展
1.整整齐齐。
说明:补充资料仅用于学习参考,请勿用于其它任何用途。
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