ECEN649: Pattern Recognition
4
Chapter 3: Sampled-Based classification
Preface
Lecture Notes
1
Introduction
2
Chapter 01
3
Chapter 2: Optimal Classification
4
Chapter 3: Sampled-Based classification
5
Chapter 4: Parametric Classification
Assignments
6
Homework 1
7
Homework 2
8
Homework 3
9
Homework 4
10
Homework4: Problem 6.12
11
Homework 5
Final Project
12
Abstract
13
Predicting Stock Market with Bayesian Nerual Network
14
Dataset before COVID
15
Introduction to Jax
16
Bayesian Neural Network with Jax
References
Table of contents
4.1
No free lunch theorem
4
Chapter 3: Sampled-Based classification
Author
Shao-Ting Chiu
Published
September 2, 2022
4.1
No free lunch theorem
3
Chapter 2: Optimal Classification
5
Chapter 4: Parametric Classification