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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,
How to model a time series,
Interpretation of the output
21  cards
Prediction of ARMA processes
Steps to find the optimal prediction,
Steps of the prediction error method,
Def of all pass filter
15  cards
Identification of ARMA processes
Identification of ar models,
Identification of arma models,
How to perform a single iteration...
6  cards
ARMAX processes
Definition of armax model,
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,
Experiment design
13  cards
Grey-box system identification
Standard use of kalman filter,
Extension of kalman filter for gr...,
New equation
7  cards
Introduction to statistical learning
What does learning mean,
Types of statistical learning,
Framework of a supervised learnin...
8  cards
Linear classification
Data set,
Hypothesis set,
Learning algorithm
10  cards
Linear regression
Data set,
Hypothesis,
Learning algorithm
5  cards
Logistic regression
Data set,
Objective,
Def logistic function
10  cards
Non-linear transforms
Why are non linear transforms useful,
Steps of a learning procedure wit...,
Generalization issues
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
11  cards
Neural networks
General introduction,
Multi layer perceptron mlp task,
Implementation of or operation wi...
9  cards
Principal Component Analysis
General goal,
Methodology,
Singular value decomposition desc...
5  cards
K-means clustering
Goal,
Performance index,
Lloyds algorithm
4  cards
Data pre-processing
Possible data pre processing proc...,
Why is data pre processing used,
Input preprocessing general proce...
8  cards
Learning with time series
Problem definition,
Def correctness of a sample estim...,
Def consistency of a sample estim...
12  cards
Kalman filtering
Mathematical formulation,
Problem statement,
Possible problems solved by kalma...
15  cards

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Model Identification and Data Analysis

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