Online Self-Calibration for Robotic Systems J´erˆome Maye, Hannes Sommer, Gabriel Agamennoni, Roland Siegwart, and Paul Furgale Autonomous Systems Lab, ETH Zurich, Switzerland email: {jerome.maye, hannes.sommer, gabrie

Source URL: europa2.informatik.uni-freiburg.de

• Statistics
• Estimation theory
• Algebra
• Regression analysis
• Mathematics
• Parametric statistics
• Least squares
• Linear filters
• Fisher information
• Kalman filter
• Matrix
• Calibration

Microsoft PowerPoint - cs559f15_Week7.pptx

Source URL: www.cs.stevens.edu

• Regression analysis
• Statistics
• Linear regression
• Homoscedasticity
• Simple linear regression
• Logistic regression
• Regression dilution
• Outline of regression analysis

Administrative Notes StatisticsLecture 27 •  Final Exam is Tuesday, May 10th (3-5pm) •  Covers Chapters 1-8 and 10 in textbook

Source URL: www-stat.wharton.upenn.edu

• Statistics
• Regression analysis
• Parametric statistics
• Probability distributions
• Statistical theory
• Measurement
• Central limit theorem
• Normal distribution
• Sampling distribution
• T-statistic
• Errors and residuals
• Linear regression

Evaluating perceived trust from procedurally animated gaze - Supplementary Materials Aline Normoyle, Jeremy B. Badler, Teresa Fan, Norman I. Badler University of Pennsylvania Vinicius J. Cassol, Soraia R. Musse † Ponti

Source URL: www.alinenormoyle.com

• Statistics
• Parametric statistics
• Estimation theory
• Statistical theory
• Statistical tests
• Regression analysis
• Emotions
• Trust
• Linear regression
• Analysis of variance
• G factor

Co-Learning Bayesian Model Fusion: Efficient Performance Modeling of Analog and Mixed-Signal Circuits Using Side Information

Source URL: manzil.ml

• Statistics
• Probability
• Mathematical analysis
• Probability distributions
• Laplace distribution
• Linear regression
• Normal distribution
• Constructible universe
• Bayesian network
• Ordinal number
• Beta distribution
• Omnibus test

IEEE TRANSACTIONS ON SOFTWARE ENGINEERING Comments on “Researcher Bias: The Use of Machine Learning in Software Defect Prediction” Chakkrit Tantithamthavorn, Student Member, IEEE,

Source URL: sail.cs.queensu.ca

• Regression analysis
• Econometrics
• Parametric statistics
• Scientific method
• Statistical methods
• Analysis of variance
• Linear regression
• Multicollinearity
• Prediction
• Coefficient of determination
• Data analysis
• Statistical classification

Machine Learning Foundations (機器學習基石) Lecture 9: Linear Regression Hsuan-Tien Lin (林軒田)

Source URL: www.csie.ntu.edu.tw

Learning Linear Regression Models over Factorised Joins (or how to make glorious benefit to regression tasks) Maximilian Schleich MSc Thesis, University of Oxford April 16, 2016

Source URL: forsyte.at

Machine Learning Foundations (機器學習基石) Lecture 9: Linear Regression Hsuan-Tien Lin (林軒田)

Source URL: www.csie.ntu.edu.tw

Overview Regression Definition, Loss function, Quadratic Loss, Linear Loss, Robustness Risk Functionals Expected, Empirical, and Regularized Risk Maximum Likelihood Estimation

Source URL: alex.smola.org