网络核函数方法 网络释义 1. 核函数方法 核函数直方图,kern... ... ) Image kernel functions 图像核函数 )kernel-based methods核函数方法) kernel method 核函数方法 ... www.dictall.com|基于 1 个网页 例句
These kernel-based methods are applied, using radar derived velocity data, to detect tornadoes. These approaches are based on maximizing the margin between two different classes: tornado and non-tornado. Results show that these approaches are successful for the tornado detection problem.THEODORE B. ...
1 . this supports the fact that the boosting kernel can include classical boosting features in the estimation process. in this example, the difference between the two methods is mainly in their computational complexity. in particular, the top right panel of fig. 9 reports some cross ...
kernel-based methods and their applications to process control are introduced.Some integrated kernel-based methods are proposed to deal with the complicated characteristics of industrial process.Finally future research on kernel-based methods and applications of such methods to process control are suggested...
This paper presents two kernel based methods that produce overlapping clusters with both linear and nonlinear boundaries. To improve separability of input patterns, we used for both methods Mercer kernel technique. First, we propose Kernel Overlapping K-means I (KOKMI), a centroid based method, ...
In particular, kernel-based methods are a powerful resource for the integration of heterogeneous biological knowledge, however, their practical implementation is often precluded by their limited scalability. Results: We propose Scuba, a scalable kernel-based method for gene prioritization. It implements ...
Kernel methods owe their name to the use of kernel functions, which enable them to operate in a high-dimensional, implicit feature space without ever computing the coordinates of the data in that space. Rather, using what is known as the kernel trick, they simply compute the inner products ...
Kernel-based methods integrate techniques from convex optimization, functional analysis and statistical learning theory into a powerful yet simple framework, and have enjoyed in the last decade great success over a wide range of application tasks in bioinformatics, financial engineering, text mining, ...
Data analytic methods for the analysis of multilevel questions A comparison of intraclass correlation coefficients, rwg(j), hierarchical linear modeling, within- and between-analysis, and r.. 热度: Examining the relationship between computerized testing conditions and test anxiety_ A comparison of ...
...跟踪[132][133], 同时文献[134]提出基于核(Kernel-based)的 Mean Shift 跟踪算法。 ja.scribd.com|基于14个网页 2. 基于核函数的学习方法 又称有监督的学习方法,主要包括两大类:基于特征向量的学习方法(feature-based)和基于核函数的学习方法(kernel-based… ...