Topics: Basic concepts and definitions of statistical learning Basic concepts and definitions of statistical pattern learning Application fields of statistical pattern recognition Statistical pattern recognition system framework Generative approach and discriminative approach Key points and difficulties: o Key points:statistical learning basic knowledge and concepts,and application fields. oDifficulties:understanding the difference between the generative approach and discriminative approach 6/68
Topics: Basic concepts and definitions of statistical learning Basic concepts and definitions of statistical pattern learning Application fields of statistical pattern recognition Statistical pattern recognition system framework Generative approach and discriminative approach Key points and difficulties: Key points: statistical learning basic knowledge and concepts, and application fields. Difficulties: understanding the difference between the generative approach and discriminative approach 6 / 68
Outline (Level 1) Definition of Statistical Learning Application Case of Statistical Pattern Recognition SPR System Framework and Design Cycle Basic Concepts Machine Learning in Different Al Disciplines 7/68
Outline (Level 1) 1 Definition of Statistical Learning 2 Application Case of Statistical Pattern Recognition 3 SPR System Framework and Design Cycle 4 Basic Concepts 5 Machine Learning in Different AI Disciplines 7 / 68
1.Definition of Statistical Learning data Machine Hypothesis 8/68
1. Definition of Statistical Learning 8 / 68
Outline (Level 1-2) Definition of Statistical Learning o Definition of"Statistics" o Definition of"Learning Definition of Statistical Learning o Definition of Pattern 9/68
Outline (Level 1-2) 1 Definition of Statistical Learning Definition of “Statistics” Definition of “Learning” Definition of Statistical Learning Definition of Pattern 9 / 68
l.l.Definition of“Statistics'” 1"The study of the collection,organization,analysis,interpretation and presentation of data",Oxford Dictionary of Statistical Terms. 2 Descriptive Statistics:Summarize and describe the collected data,such as mean and variance.what happened 3 Predictive Statistics:Modeling the collected data and make inferences about the population,such regression analysis.what will happen 4 Prescriptive Statistics:Modeling the collected data and make decisions for the next step.what to do Any function of the samples is a statistic,such as the sample mean and variance 10/68
1.1. Definition of “Statistics” 1 ”The study of the collection, organization, analysis, interpretation and presentation of data”, Oxford Dictionary of Statistical Terms. 2 Descriptive Statistics: Summarize and describe the collected data, such as mean and variance. what happened 3 Predictive Statistics: Modeling the collected data and make inferences about the population, such regression analysis. what will happen 4 Prescriptive Statistics: Modeling the collected data and make decisions for the next step. what to do Any function of the samples is a statistic, such as the sample mean and variance 10 / 68