Learning via Uniform Convergence Prof. Dan A. Simovici UMB 1/17 Outline 1 Uniform Convergence 2 Finite Classes are Agostically PAC-learnable 2/17 Uniform Convergence Reminder For…
The Vapnik-Chervonenkis Dimension Prof. Dan A. Simovici UMB 1/96 Outline 1 Basic Definitions for Vapnik-Chervonenkis Dimension 2 Growth Functions 3 The Sauer-Shelah Theorem 4 The…
The Probably Approximately Correct (PAC) Learning Prof. Dan A. Simovici UMB 1/21 Outline 1 The Agnostic PAC Learning 2 The Scope of Learning Problems 2/21…
The No-Free-Lunch Theorem Prof. Dan A. Simovici UMB 1/23 Outline 1 Preliminaries 2 The No-Free-Lunch Theorem 2/23 Preliminaries Reminder If K is event such that…
Probabilistic Inequalities – I Prof. Dan A. Simovici UMB 1/22 Outline 1 Markov and Chebyshev Inequalities 2 Hoeffding’s Inequality 2/22 Markov and Chebyshev Inequalities Markov…
Graphics for Games CPI 411 2/18/2021 Solution of Assignment 1 • Section A (20) • Section B (10) • Section C (70) – ShaderImplementation –…
What is MACHINE LEARNING? Prof. Dan A. Simovici UMB 1/49 Outline 1 A Formal Model 2 Empirical Risk Minimization (ERM) 3 ERM with Inductive Bias…
Graphics for Games CPI 411 2/18/2021 Term Project • Phase 1: March 16 – PresentationofProposal • Phase 2: April 20, 22 (Last week) – Demonstration…
Graphics for Games CPI 411 2/18/2021 Today’s Contents • Solution of Lab#5 (Demo) • Reflection & Refraction • Quiz#5 (15 min) on Chapter 7 2/18/2021…