ISE 789-005/OR 791-005: Introduction to Support Vector Machines and Neural Networks

Lecture Notes

Lecture 0    |   Lecture 1    |   Lecture 2    |   Lecture 3   

Lecture 4    |   Lecture 5    |   Lecture 6    |   Lecture 7

Lecture 8    |   Lecture 9       

Supplemental Reading Material

• Neural networks and Deep Learning
• Nonlinear Programming and Support Vector Machines
• Support-Vector Networks
• Soft Quadratic Surface SVM
• QSSVM for Semi-Supervised Learning
• Double Well Potential SVM
• Twin-SVM Survey
• Kernel-Free Twin SVM for Multi-classification
• Support Vector Regression Tutorial
• Robust Kernel-Free Support Vector Regression
• Robust SVR for Electric Load Forecasting
• Radial Basis Function Neural Networks Review
• Convolutional Neural Networks Guide
• CNN Cheatsheet

Homework

Assignment #1   data1  data2

Assignment #2   data1_1  data1_2  data2  data3  data4

Assignment #3   tenstocks

Assignment #4   

Assignment #5   letter-recognition

Project

Project Requirement

• Project Presentation

     Due: April 18, 2024 In Class

• Final Project Report

     Due: 11:00pm on April 30, 2024

Exam

Final project presentation will be scheduled for oral exam.

Grades

• Grading of the course is mainly homework-project based.
• Homework assignment with each lecture (60%).
• Final project (40%).