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3 - Recursive Least Square (RLS) Algorithms
3 - Recursive Least Square (RLS) Algorithms
By
Bar tender
, Massachusetts Institute of Technology, Massachusetts, On August 26, 2008
Views: 2114
Course:
Identification, Estimation, and Learning...
Main Category:
Mechanical engineering
Tags:
Akaike's
Asymptotic
Bound
Central
Cramer-Rao
criterion
design
Distance
estimate
estimates
experiment
function_approximation_theory
information
informative_data_sets
Kalman_filters
Kullback-Leibler
Likelihood
limit
Lower
Maximum
Model
model_validation.
neural_nets
noise_dynamics
Order
persistent_excitation
radial_basis_functions
Selection
Structure
System
system_representation
theorems
unbiased
Variance
Volterra_expansions
wavelets
39 - Normal Modes and the Matrix Exponential
39 - Normal Modes and the Matrix Exponential
By
Bar tender
, Massachusetts Institute of Technology, Massachusetts, On August 22, 2008
Views: 281
Course:
Differential Equations, Spring 2006, MIT
Main Category:
Applied Mathematics
Tags:
Exponential
Matrix
modes
Normal
4 - A Removable Singularity Theorem; Laplacian in General Coordinate Systems; Asymptotic Expansions
4 - A Removable Singularity Theorem; Laplacian in General Coordinate Systems; Asymptotic Expansions
By
Bar tender
, Massachusetts Institute of Technology, Massachusetts, On August 22, 2008
Views: 385
Course:
Differential Analysis, Spring 2004, MIT
Main Category:
Analysis
Tags:
Asymptotic
Laplacian
Removable
Singularity
4 - Properties of RLS
4 - Properties of RLS
By
Bar tender
, Massachusetts Institute of Technology, Massachusetts, On August 26, 2008
Views: 533
Course:
Identification, Estimation, and Learning...
Main Category:
Mechanical engineering
Tags:
Akaike's
Asymptotic
Bound
Central
Cramer-Rao
criterion
design
Distance
estimate
estimates
experiment
function_approximation_theory
information
informative_data_sets
Kalman_filters
Kullback-Leibler
Likelihood
limit
Lower
Maximum
Model
model_validation.
neural_nets
noise_dynamics
Order
persistent_excitation
radial_basis_functions
Selection
Structure
System
system_representation
theorems
unbiased
Variance
Volterra_expansions
wavelets
4- Fault-Tolerant Consensus Problems; Link Failures: The Two Generals Problem; Process Failures (Stopping, Byzantine); Algorithms for Agreement with Stopping and Byzantine Failures; Exponential Information Gathering
4- Fault-Tolerant Consensus Problems; Link Failures: The Two Generals Problem; Process Failures (Stopping, Byzantine); Algorithms for Agreement with Stopping and Byzantine Failures; Exponential Information Gathering
By
Bar tender
, Massachusetts Institute of Technology, Massachusetts, On August 28, 2008
Views: 441
Course:
Distributed Algorithms, Fall 2005, MIT
Main Category:
Algorithms
Tags:
Consensus
Failures
Fault-Tolerant
Link
5 - Complex Numbers, Complex Exponentials
5 - Complex Numbers, Complex Exponentials
By
Bar tender
, Massachusetts Institute of Technology, Massachusetts, On August 22, 2008
Views: 318
Course:
Differential Equations, Spring 2006, MIT
Main Category:
Applied Mathematics
Tags:
Complex
Exponentials
NUMBERS
5 - Random Processes, Active Noise Cancellation
5 - Random Processes, Active Noise Cancellation
By
Bar tender
, Massachusetts Institute of Technology, Massachusetts, On August 26, 2008
Views: 551
Course:
Identification, Estimation, and Learning...
Main Category:
Mechanical engineering
Tags:
Akaike's
Asymptotic
Bound
Central
Cramer-Rao
criterion
design
Distance
estimate
estimates
experiment
function_approximation_theory
information
informative_data_sets
Kalman_filters
Kullback-Leibler
Likelihood
limit
Lower
Maximum
Model
model_validation.
neural_nets
noise_dynamics
Order
persistent_excitation
radial_basis_functions
Selection
Structure
System
system_representation
theorems
unbiased
Variance
Volterra_expansions
wavelets
6 - Discrete Kalman Filter 1
6 - Discrete Kalman Filter 1
By
Bar tender
, Massachusetts Institute of Technology, Massachusetts, On August 26, 2008
Views: 5239
Course:
Identification, Estimation, and Learning...
Main Category:
Mechanical engineering
Tags:
Akaike's
Asymptotic
Bound
Central
Cramer-Rao
criterion
design
Distance
estimate
estimates
experiment
function_approximation_theory
information
informative_data_sets
Kalman_filters
Kullback-Leibler
Likelihood
limit
Lower
Maximum
Model
model_validation.
neural_nets
noise_dynamics
Order
persistent_excitation
radial_basis_functions
Selection
Structure
System
system_representation
theorems
unbiased
Variance
Volterra_expansions
wavelets
6 - Expert Systems - Machine Learning - Speech Recognition and Machine Vision
6 - Expert Systems - Machine Learning - Speech Recognition and Machine Vision
By
Bar tender
, Massachusetts Institute of Technology, Massachusetts, On August 29, 2008
Views: 440
Course:
Information Technology and the Labor Mar...
Main Category:
Urban Studies
Tags:
expert
Learning
Machine
System
6 - The Derivatives of Exponential and Logarithm Functions
6 - The Derivatives of Exponential and Logarithm Functions
By
Bar tender
, Massachusetts Institute of Technology, Massachusetts, On September 1, 2008
Views: 495
Course:
Simplicity Theory
Main Category:
Mathematics
Tags:
derivatives
Exponential
FUNCTIONS
logarithm
Math
simplicity
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