Automobile Data Set(汽车数据集) 数据摘要: This data set consists of three types of entities: (a) the specification of an auto in terms of various characteristics, (b) its assigned insurance risk rating, (c) its normalized losses in use as compared to other cars. From 1985 Ward's Automoti...
机器学习_Automobile Data Set(汽车数据集)
Automobilefeaturesdataset(汽车特性数据)数据摘要:Thiswasthe1983ASADataExpositiondataset.ThedatasetwascollectedbyErnestoRamosandDavidDonohoanddealtwithau..
An automobile circuit includes a power source, a temperature sensor outputting temperature measurement data, a voltage sensor outputting system voltage mea... WG Johnson,G Gonzalez,TL Mack-Askew,... 被引量: 0发表: 2007年 Development of a standard set of key work-related outcomes for use in ...
A target value to set the engine torque is decided by further considering the parameter on the basis of a target value to the engine torque and/or the engine speed set by a clutch control system. The control unit 7 forms the engine torque on the basis of a load lever position or a ...
000 auto injury claims reported to the Detailed Claim Database (DCD) of the Automobile Insurers Bureau of Massachusetts from accident years 1995 through ... R Derrig,L Francis 被引量: 18发表: 2008年 Claims Auditing in Automobile Insurance The analysis makes use of a data set on the dispositi...
Research on Data Product Quality Evaluation Model Based on AHP and TOPSIS This paper aims to construct a data product quality evaluation model for the data circulation market. First of all, this paper established an index system for data product quality evaluation by using multiple dimensions and ...
The top technologies such as AI digital assistant and AI digital chassis innovatively integrate intelligent driving, big data, artificial intelligence, and cloud computing to create a high-value mobility experience for the future. Geely Auto Group CEO, ...
X.N.: investigation, methodology, writing—original draft preparation; M.C.: supervision, writing—review and editing; Z.Z.: resources, writing—review and editing; Y.S.: data curation, investigation; W.X.: methodology, validation; Y.C.: data curation, investigation; X.S.: data curation,...
Signal Detection Theory (SDT) is used to analyze data coming from experiments where the task is to categorize ambiguous stimuli which can be generated either by a known process (called the signal) or be obtained by chance (called the noise in the SDT framework). SDT assumes two possible stat...