'Square error' presentation slideshows

Does Informal Care Break the Cycle of Functional Disability and Depressive Symptoms in Late Life?

Does Informal Care Break the Cycle of Functional Disability and Depressive Symptoms in Late Life?. I-Fen Lin (???) Bowling Green State University Department of Sociology. Background. Functional disability and depressive symptoms increase with age

704 views • 57 slides

Active Noise Cancellation

Active Noise Cancellation. Jessica Arbona & Christopher Brady Dr. In Soo Ahn & Dr. Yufeng Lu, Advisors. Outline . Goal Adaptive Filter Adaptive Filtering System Four Typical Applications of Adaptive Filters How does the Adaptive Filter Work? Project Description High Level Flowchart

905 views • 48 slides

Simple linear regression

Simple linear regression. Linear regression with one predictor variable. What is simple linear regression?. A way of evaluating the relationship between two continuous variables . One variable is regarded as the predictor , explanatory , or independent variable (x).

617 views • 42 slides

Lecture 3 Matrices

Lecture 3 Matrices. Lat Time Matrices, Gaussian Elimination and Gauss-Jordan Elimination Operation with Matirces Properties of Matrix Operations Reading Assignment : Sec. 1.1 and 2.1of Text. Elementary Linear Algebra R. Larsen et al. (5 Edition) TKUEE ??? -NTUEE SCC_09_2007.

815 views • 39 slides

Deconvolution, Deblurring and Restoration

T-61.182, Biomedical Image Analysis Seminar Presentation 14.4.2005 Seppo Mattila & Mika Pollari. Deconvolution, Deblurring and Restoration. Overview (1/2). Linear space-invariant (LSI) restoration filters - Inverse filtering - Power spectrum equalization - Wiener filter

1.23k views • 38 slides

Artificial Neural Networks

Artificial Neural Networks. Outline. Biological Motivation Perceptron Gradient Descent Least Mean Square Error Multi-layer networks Sigmoid node Backpropagation. Biological Neural Systems. Neuron switching time : > 10 -3 secs Number of neurons in the human brain: ~10 10

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16. Mean Square Estimation

16. Mean Square Estimation. Given some information that is related to an unknown quantity of interest, the problem is to obtain a good estimate for the unknown in terms of the observed data. Suppose represent a sequence of random

340 views • 33 slides

Least Mean-Square Adaptive Filtering

Least Mean-Square Adaptive Filtering. Steepest Descent. The update rule for SD is where or SD is a deterministic algorithm, in the sense that p and R are assumed to be exactly known. In practice we can only estimate these functions. Basic Idea.

2.45k views • 32 slides

WMO/CLIPS training module Predictability and prediction 4.4 Verification of SST forecasts Michael Davey and Andrew C

WMO/CLIPS training module Predictability and prediction 4.4 Verification of SST forecasts Michael Davey and Andrew Colman Seasonal Prediction Group version 21 November 2000. Verification of SST forecasts Introduction 1

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Radar Imaging and Waveform Design

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Ranking and Clustering Software Cost Estimation Models through a Multiple Comparisons Algorithm

Gagandeep S ingh K alra (7469955) Sarjak Shirish Shah (7496952) Parikshat Sharma (7481780). Software Engineering Project Management submitted to Professor Shervin Shirmohammadi in partial fulfillment of the requirements for the course ELG 5100.

621 views • 30 slides

On the use of data mining for imputation

On the use of data mining for imputation. Pilar Rey del Castillo, EUROSTAT. Outline . Imputations to solve non-response in surveys; new problems for mass imputations State of the art: model-based imputations => MI Introduce data mining methods (for continuous data)

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Predicting zero-day software vulnerabilities through data mining --Second Presentation

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Class 10: Tuesday, Oct. 12

Class 10: Tuesday, Oct. 12. Hurricane data set, review of confidence intervals and hypothesis tests Confidence intervals for mean response Prediction intervals Transformations Upcoming: Thursday: Finish transformations, Example Regression Analysis Tuesday: Review for midterm

639 views • 24 slides

Bias Correction Methods Adjusting Moments

Bias Correction Methods Adjusting Moments. Bo Cui*, Zoltan Toth Yuejian Zhu, Dingchen Hou*, and Richard Wobus * Environmental Modeling Center, NCEP/NWS * SAIC at Environmental Modeling Center, NCEP/NWS. Acknowledgements. Zoltan Toth Yuejian Zhu Dingchen Hou Richard Wobus. Outline.

544 views • 23 slides

Performance Complexity Trade-Offs in H.264 Motion Search

Performance Complexity Trade-Offs in H.264 Motion Search. Pooja Agarwal (pagarwal@nvidia.com) Apoorv Gupta (agupta@nvidia.com) Paul Kim (pakim@nvidia.com). Overview. Outline Background on Motion Search Motion Estimation in Reference Code Our approaches to reduce Motion Search Complexity

467 views • 22 slides

Omitted Variable Bias

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Heidke Skill Score (for deterministic categorical forecasts)

Heidke Skill Score (for deterministic categorical forecasts). Verification of climate predictions. Heidke score = . Example: Suppose for OND 1997, rainfall forecasts are made for 15 stations in southern Brazil. Suppose forecast is defined by

458 views • 18 slides

Image processing

Image processing. Adaptive filters: Wiener and Lucy Richardson filters. Image model. Original data = Image * PSF of blurring +additive noise * - convolution operator The Importance of the PSF

650 views • 17 slides

Chap. 10. Fourier Series, Integrals, and Transforms

Chap. 10. Fourier Series, Integrals, and Transforms. - Fourier series: series of cosine and sine terms - for general periodic functions (even discontinuous periodic func.) - for ODE, PDE problems

547 views • 14 slides