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Model Identification and Data Analysis

This class was created by Brainscape user Giorgio Ferrara. Visit their profile to learn more about the creator.

By: Giorgio Ferrara
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Decks in this class (20)

Non-parametric black-box identification of I/O models
Possible representations of a dis...,
Transformation from state space t...,
Transformation from transfer func...
19  cards
Analysis of ARMA processes
Time series interpretation 1,
How to model a time series 2,
Interpretation of the output 3
21  cards
Prediction of ARMA processes
Steps to find the optimal predict...,
Steps of the prediction error met...,
Def of all pass filter 3
15  cards
Identification of ARMA processes
Identification of ar models 1,
Identification of arma models 2,
How to perform a single iteration...
6  cards
ARMAX processes
Definition of armax model 1,
K steps predictor from data of an...,
Prediction error for an armax pro...
7  cards
Frequency domain parametric system identification
Steps of the identification proce...,
General idea of the method 2,
Experiment design 3
13  cards
Grey-box system identification
Standard use of kalman filter 1,
Extension of kalman filter for gr...,
New equation 3
7  cards
Introduction to statistical learning
What does learning mean 1,
Types of statistical learning 2,
Framework of a supervised learnin...
8  cards
Linear classification
Data set 1,
Hypothesis set 2,
Learning algorithm 3
10  cards
Linear regression
Data set 1,
Hypothesis 2,
Learning algorithm 3
5  cards
Logistic regression
Data set 1,
Objective 2,
Def logistic function 3
10  cards
Non-linear transforms
Why are non linear transforms use...,
Steps of a learning procedure wit...,
Generalization issues 3
3  cards
Overfitting
Bias variance decomposition of th...,
Bias variance diagram as a functi...,
Learning curves as a function of ...
10  cards
Non-parametric classification
Difference between parametric and...,
Why is non parametric classificat...,
Nearest neighbor rule 3
11  cards
Neural networks
General introduction 1,
Multi layer perceptron mlp task 2,
Implementation of or operation wi...
9  cards
Principal Component Analysis
General goal 1,
Methodology 2,
Singular value decomposition desc...
5  cards
K-means clustering
Goal 1,
Performance index 2,
Lloyd s algorithm 3
4  cards
Data pre-processing
Possible data pre processing proc...,
Why is data pre processing used 2,
Input preprocessing general proce...
8  cards
Learning with time series
Problem definition 1,
Def correctness of a sample estim...,
Def consistency of a sample estim...
12  cards
Kalman filtering
Mathematical formulation 1,
Problem statement 2,
Possible problems solved by kalma...
15  cards

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Model Identification and Data Analysis

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