<span>Reinforcement learning is a powerful tool in artificial intelligence in which virtual or physical agents learn to optimize their decision making to achieve long-term goals. In some cases, this machine learning approach can save programmers time, outperform existing controllers, reach super-hum
Applied Sequential Methodologies: Real-World Examples with Data Analysis
β Scribed by Nitis Mukhopadhyay (Editor); Sujay Datta (Editor); Saibal Chattopadhyay (Editor)
- Publisher
- CRC Press
- Year
- 2004
- Leaves
- 494
- Edition
- 1
- Category
- Library
No coin nor oath required. For personal study only.
β¦ Synopsis
A technically precise yet clear presentation of modern sequential methodologies having immediate applications to practical problems in the real world, Applied Sequential Methodologies communicates invaluable techniques for data mining, agricultural science, genetics, computer simulation, finance, clinical trials, sonar signal detection, randomizati
β¦ Table of Contents
Passive Acoustic Detection of Marine Mammals Using Page`s Test. Two-Stage Procedures for Selecting the Best Component of a Multivariate Distribution. Sequential Randomization Tests. Sequential Methods for Multistate Processes. Sequential Adaptive Designs for Clinical Trials with Longitudinal Responses. Sequential Approaches to Data Mining. Approximations and Bounds for Moving Sums of Discrete Random Variables. Estimation of the Slope in a Measurement-Error Model. Kernel Density Estimation of Wool Fiber Diameter. Financial Applications of Sequential Nonparametric Curve Estimation.
β¦ Subjects
Mathematics & Statistics;Statistics & Probability;Statistics;Statistical Theory & Methods
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