A Discriminative Approach to Bayesian Filtering with Applications to Human Neural Decoding - Info and Reading Options
By Michael Craig Burkhart
"A Discriminative Approach to Bayesian Filtering with Applications to Human Neural Decoding" was published by Brown University in 2019 - Providence, USA, it has 112 pages and the language of the book is English.
“A Discriminative Approach to Bayesian Filtering with Applications to Human Neural Decoding” Metadata:
- Title: ➤ A Discriminative Approach to Bayesian Filtering with Applications to Human Neural Decoding
- Author: Michael Craig Burkhart
- Language: English
- Number of Pages: 112
- Publisher: Brown University
- Publish Date: 2019
- Publish Location: Providence, USA
“A Discriminative Approach to Bayesian Filtering with Applications to Human Neural Decoding” Subjects and Themes:
- Subjects: ➤ Machine Learning - Brain-computer interfaces - Gaussian processes - Bayesian filtering - Supervised learning (Machine learning) - Neural decoding - Hidden Markov models - State-space models - Neural networks (Computer science) - Computational neuroscience - Discriminative probabilistic modeling - Nonparametric statistics
Edition Specifications:
- Pagination: xxii, 112p.
Edition Identifiers:
- The Open Library ID: OL32035375M - OL24230824W
- ISBN-13: 9798664701937
- All ISBNs: 9798664701937
AI-generated Review of “A Discriminative Approach to Bayesian Filtering with Applications to Human Neural Decoding”:
"A Discriminative Approach to Bayesian Filtering with Applications to Human Neural Decoding" Table Of Contents:
- 1- An Overview of Bayesian Filtering
- 2- Filtering with a Discriminative Model: the Discriminative Kalman Filter (DKF)
- 3- DKF Consistency
- 4- Making the DKF robust to nonstationarities
- 5- More on Discriminative Modeling
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