'Estimation error' diaporamas de présentation

Chapter 7 Normal Distribution & Brownian motion

Chapter 7 Normal Distribution & Brownian motion. 7.1 Normal distribution. Lecture 12 Apr. 17, 2013. Prof. Bob Li. Normal distribution (Gaussian distribution). Theorem. The function is a probability density function. // of the standard normal distribution.

1.19k views • 77 slides

ASEN 5070 Statistical Orbit Determination I Fall 2012 Professor Jeffrey S. Parker

ASEN 5070 Statistical Orbit Determination I Fall 2012 Professor Jeffrey S. Parker Professor George H. Born Lecture 22: Householder, Information Filter. Announcements. Homework 10 AND 11 announced today. HW 10 due the Thursday after break. HW 11 due the week after.

843 views • 73 slides

ASEN 5070 Statistical Orbit Determination I Fall 2012 Professor Jeffrey S. Parker

ASEN 5070 Statistical Orbit Determination I Fall 2012 Professor Jeffrey S. Parker Professor George H. Born Lecture 18: CKF, Numerical Compensations. Announcements. Homework 6 and 7 graded asap Homework 8 announced today.

703 views • 60 slides

Chapter 7 Sliding Control

824 views • 58 slides

ASEN 5070 Statistical Orbit determination I Fall 2012 Professor George H. Born

ASEN 5070 Statistical Orbit determination I Fall 2012 Professor George H. Born Professor Jeffrey S. Parker Lecture 11: Batch and Sequential. Announcements. Homework 4 Graded Homework 5 due Thursday LaTex example on the ccar.colorado.edu /ASEN5070 website

808 views • 55 slides

Software Project Management

Software Project Management. Lecture 5 Software Project Risk Management. Overview. Project risks Nature of risks Risk identification Risk estimation Risk evaluation Risk management Risk reduction strategies. Project Risks. Factors that cause a project to be delayed or over-budget.

843 views • 45 slides

A Fast, Analytical Estimator for the SEU-induced Pulse Width in Combinational Designs

A Fast, Analytical Estimator for the SEU-induced Pulse Width in Combinational Designs. By: Rajesh Garg Charu Nagpal Sunil P. Khatri Department of Electrical and Computer Engineering, Texas A&M University, College Station, TX. Outline. Introduction Previous Work Objective Approach

416 views • 34 slides

Q-Learning and Dynamic Treatment Regimes

Q-Learning and Dynamic Treatment Regimes. S.A. Murphy Univ. of Michigan IMS/Bernoulli: July, 2004. Outline Dynamic Treatment Regimes Optimal Q-functions and Q-learning The Problem & Goal Finite Sample Bounds Outline of Proof Shortcomings and Open Problems. Dynamic Treatment Regimes.

568 views • 31 slides

Fast Bayesian Matching Pursuit

Reading Group. Fast Bayesian Matching Pursuit. (Authors: Philip Schniter , Lee C. Potter, and Justin Ziniel ). Presenter: Changchun Zhang ECE / CMR Tennessee Technological University November 12, 2010. Outline. Introduction Signal Model Estimation of Basis and Parameters

314 views • 25 slides

Performance Bounds for Hybrid Flow Lines: Fundamental Behavior, Practical Features and Application to Linear Cluster Too

360 views • 24 slides

Reinforcement Learning: Learning algorithms

Reinforcement Learning: Learning algorithms. Yishay Mansour Tel-Aviv University. Outline . Last week Goal of Reinforcement Learning Mathematical Model (MDP) Planning Value iteration Policy iteration This week: Learning Algorithms Model based Model Free. Planning - Basic Problems.

374 views • 22 slides

LECTURE 07: BAYESIAN ESTIMATION (Cont.)

406 views • 21 slides

Self-tuning Histograms Building Histograms Without Looking at Data

Self-tuning Histograms Building Histograms Without Looking at Data . By Ashraf Aboulnage & Surajit Chaudhuri Represents By Miller Ofer. Traditional histograms. Histograms impose little cost at queries , especially in a large data base.

392 views • 20 slides

Constellations for Imperfect Channel State Information at the Receiver

267 views • 18 slides

Leonid Statistics Project

Leonid Statistics Project. November 18-19, 2003 23:30-01:30. Background on Leonids. Earliest recorded sighting 9/28/901 Debris from the tail of comet Temple-Tuttle The 1833 Leonid meteor storm was observed and recorded by various Sioux tribes in the region around North and South Dakota. .

320 views • 17 slides

Solution to the Sagan Dilemma via Surface Albedo Modification Technique

Solution to the Sagan Dilemma via Surface Albedo Modification Technique. Shen Ge 1 , Virgiliu Pop 2. 1 Shen Ge, Graduate Research Assistant, Texas A&M University, shenge86@gmail.com 2 Virgiliu Pop, Researcher, Romanian Space Agency, virgiliu.pop@gmail.com. Introduction to NEOs and PHAs.

311 views • 17 slides

230 views • 13 slides

297 views • 10 slides

Regression Variance-Bias Trade-off

Regression Variance-Bias Trade-off. Regression. We need a regression function h(x ) We need a loss function L(h(x),y ) We have a true distribution p(x,y ) Assume a quadratic loss, then:. Note: y ?t ; h(x)?y(x ). e stimation error. n oise error. Regression: Learning.

231 views • 7 slides

A Scalable Tree-based Approach for Joint Object and Pose Recognition Kevin Lai, Liefeng Bo, Xiaofeng Ren, and Dieter Fox

A Scalable Tree-based Approach for Joint Object and Pose Recognition Kevin Lai, Liefeng Bo, Xiaofeng Ren, and Dieter Fox. A Scalable Tree-based Approach for Joint Object and Pose Recognition. Tree of classifiers for object recognition and pose estimation

107 views • 2 slides