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Christopher Leon Stanard

Researcher at General Electric

Publications -  6
Citations -  84

Christopher Leon Stanard is an academic researcher from General Electric. The author has contributed to research in topics: Supervised learning & Set (abstract data type). The author has an hindex of 3, co-authored 6 publications receiving 84 citations.

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Patent

Web-based system for managing software assets

TL;DR: A software license management system (SLMS) utilizing a web-based interactive database to automate a software management process (SWMP) for managing software assets, measuring compliance requirements, and tracking/reporting status as necessary to assure proficiency and adherence to implementation requirements of the SWMP as discussed by the authors.
Patent

Reliability assessment method, apparatus and system for quality control

TL;DR: In this paper, the authors present a reliability assessment analysis system with a plurality of analysis stations, at least one of the analysis stations being located at a remote geographic location from others.
Patent

Method and apparatus for achieving a quality standard

TL;DR: A statistical process capability calculation method as mentioned in this paper involves acquiring certain input information (102,104) for use in connection with the calculation process, establishing a mathematical model (114-120) based on the input data, using the mathematical model to perform certain statistical analyses and generating an output (122-126) based upon the statistical analyses.
Patent

Method and device for realizing quality standard

TL;DR: In this article, a mathematical model is set on the basis of input data and a statistical analysis is executed, by using the mathematial model, by selecting a calculation method and deriving one or more distributions.
Patent

Method and apparatus for exploring an experimental space

TL;DR: In this paper, a hybrid learning system for searching an experimental space is presented, where a search engine is designed to use unsupervised learning techniques to select a set of evaluation points representing a corresponding set of experiments to be run, based on data from the data mart.