Nonlinear estimation and classification Denison, David D.(著/文) - Springer
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Nonlinear estimation and classification
- 初版年月日
- 2003
- 登録日
- 2018年9月1日
- 最終更新日
- 2018年9月1日
紹介
Researchers in many disciplines face the formidable task of analyzing massive amounts of high-dimensional and highly-structured data. This is due in part to recent advances in data collection and computing technologies. As a result, fundamental statistical research is being undertaken in a variety of different fields. Driven by the complexity of these new problems, and fueled by the explosion of available computer power, highly adaptive, non-linear procedures are now essential components of modern "data analysis," a term that we liberally interpret to include speech and pattern recognition, classification, data compression and signal processing. The development of new, flexible methods combines advances from many sources, including approximation theory, numerical analysis, machine learning, signal processing and statistics. The proposed workshop intends to bring together eminent experts from these fields in order to exchange ideas and forge directions for the future.
目次
Nonlinear Classification * Approximation Theory and Signal Processing * Modeling of Complex Objects * Splines Gaussian Processes and Support Vector Machines * Case Studies * Theory * Machine Learning and Optimization * Future Directions
上記内容は本書刊行時のものです。
