Decision tree model

About: Decision tree model is a research topic. Over the lifetime, 2256 publications have been published within this topic receiving 38142 citations.

Electric vehicle operation and maintenance optimization method based on security tree model

Abstract: The invention relates to an electric vehicle operation and maintenance optimization method based on a security tree model. The electric vehicle operation and maintenance optimization method comprisesthe steps of S1, constructing a security tree; S2, based on the security tree, performing security importance sorting on each underlying event; S3, judging whether the safety state of the electric vehicle reaches a threshold value or not, if yes, executing the step S4, and if not, continuing evaluation; S4, checking the branches with the high safety importance in the safety tree, removing faults,and then executing the step S3 again. By implementing the electric vehicle operation and maintenance optimization method based on the security tree model in an actual operation process, the safety ofthe electric vehicle with continuously changing safety performance is accurately and digitally evaluated in real time; therefore, according to the safety tree module, all the safety fault states are integrated, the safety state of the electric vehicle is described in a timed and quantitative mode, then guidance on electric vehicle manufacturing, maintenance, operation and maintenance is achieved,and therefore the safety of the electric vehicle is improved.

Leading Tree in DPCLUS and Its Impact on Building Hierarchies.

Abstract: This paper reveals the tree structure as an intermediate result of clustering by fast search and find of density peaks (DPCLUS), and explores the power of using this tree to perform hierarchical clustering. The array used to hold the index of the nearest higher-densitied object for each object can be transformed into a Leading Tree (LT), in which each parent node P leads its child nodes to join the same cluster as P itself, and the child nodes are sorted by their gamma values in descendant order to accelerate the disconnecting of root in each subtree. There are two major advantages with the LT: One is dramatically reducing the running time of assigning noncenter data points to their cluster ID, because the assigning process is turned into just disconnecting the links from each center to its parent. The other is that the tree model for representing clusters is more informative. Because we can check which objects are more likely to be selected as centers in finer grained clustering, or which objects reach to its center via less jumps. Experiment results and analysis show the effectiveness and efficiency of the assigning process with an LT.

Tree model device

Abstract: The utility model relates to a tree model device, which is used for fields and occasions for carrying out a mechanics experiment and researching and simulating root system anchoring and the like The upper part of a tree root model is provided with a trunk model, and the trunk model is provided with a loading system for applying different position forces or force couples The tree model device can be reused so as to lower the mechanics experiment cost of the tree and conform to the environment protection requirement, the model can be manually set, an experiment process can be manually regulated, and an experiment result can fully disclose the working mode and the synergistic effect mechanism of each main factor of a root system and soil

Density Estimation: Models Beyond the DP

Abstract: The ubiquitous use of Dirichlet process models should not discourage researchers from considering interesting features of alternative models. In particular, the Polya tree model turns out to be an attractive choice for some applications. In this chapter we discuss the use of the Polya tree prior and its variations for density estimation. We define the model, introduce computation efficient methods for posterior inference and identify relative advantages and limitations compared with Dirichlet process models.