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Lecture #10

Lecture #10. Studenmund (2006): Chapter 10. Heteroscedasticity. Heteroskedasticity. Objectives What is heteroscedasticity? What are the consequences? How is heteroscedasticity be identified? How is heteroscedasticity be corrected?. Homoscedasticity Case. Y i. f(Y i ). expenditure.

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Bruce Mayer, PE Licensed Electrical & Mechanical Engineer BMayer@ChabotCollege

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Statistical learning and optimal control: A framework for biological learning and motor control

Statistical learning and optimal control: A framework for biological learning and motor control Lecture 2: Models of biological learning and sensory-motor integration Reza Shadmehr Johns Hopkins School of Medicine. Various forms of classical conditioning in animal psychology.

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Review of Combinational Circuits

Review of Combinational Circuits. Dr. Jing Pang. Combinational Circuits. Designing Combinational Circuits. In general we have to do following steps: Problem description Input/output of the circuit Define truth table Simplification for each output Draw the circuit. Binary adder.

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STATS 330: Lecture 8

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3. Classification Methods

3. Classification Methods. Patterns and Models Regression, NBC k-Nearest Neighbors Decision Trees and Rules Large size data. Models and Patterns. A model is a global description of data, or an abstract representation of a real-world process Estimating parameters of a model

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????????????? 3.6 ???????????

????????????? 3.6 ???????????. ??????? ????. 1. 1. 1. 1. 1. 1. 1. 1. 2. 2. 2. 2. 2. 2. 2. 2. 3. 3. 3. 3. 3. 3. 3. 3. ????. ????????????????? ???????????????? n=3 ?????? 25 ??????????? 8 ??. 1 ??. 2 ??. 2 ??. 2 ??. 4 ??. 4 ??. 6 ??. 4 ??. ????????????.

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Regression Verification for Multi-Threaded Programs

Regression Verification for Multi-Threaded Programs. Sagar Chaki, SEI-Pittsburgh Arie Gurfinkel, SEI-Pittsburgh Ofer Strichman , Technion-Haifa Originally presented at VMCAI 2012. VSSE 2012. Regression Verification. Formal equivalence checking of two similar programs

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Combinational Circuits

Combinational Circuits. Analysis Diagram. Designing Combinational Circuits. In general we have to do following steps: Problem description Input/output of the circuit Define truth table Simplification for each output Draw the circuit. Half Adders. Maps for Full ADDER. SOP for ADDERS.

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Some Terms

Some Terms. Y = b o + b 1 X Regression of Y on X Regress Y on X X called independent variable or predictor variable or covariate or factor Which factors are related to Y?. Multiple linear regression model. Y = b o + b 1 X 1 + b 2 X 2 + ... + b p X p + ε

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REGRESI DENGAN VARABEL FAKTOR/ KUALLTATIF

REGRESI DENGAN VARABEL FAKTOR/ KUALLTATIF. KASUS I: FAKTOR TIDAK BERPENGARUH. REGRESI DIPERIKSA INTERAKSI. lm(formula = y1 ~ x1 * g, data = DataSimReg) Coefficients: Estimate Std. Error t value Pr(>|t|) (Intercept) 10.00000 1.23576 8.092 5.45e-11 ***

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Risk and Expected Utility

Risk and Expected Utility. Total and Marginal Utility. Here we show a generic example with a risk avoider. Two monetary values of interest are, say, X1 and X2 and those values have utility U(X1) and U(X2), respectively. Utility. U(X2) U(X1). $. X1 X2.

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Line

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Calling within Static method

Calling within Static method. /* We can call a non static method from a static method but by only through an object of that class. */ class Test1{ public static void meth1(){ Test1 t1 = new Test1(); t1.meth2(); Test2 t2 = new Test2(); t2.meth3(); } public void meth2(){

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Multimedia Security

Custom Profile Plot. Multimedia Security. ????????. ?????? 9724823. ??. Draws a line profile using getPixel() to get the pixels values along the line. CODE. getLine(x1, y1, x2, y2, width); if (x1==-1) exit("Line selection required");

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Logic Design LAB 6

Logic Design LAB 6. ???????? ????????????. Outlines. 2-bit Comparator A=B A>B A<B LAB. 2-bit Comparator. A=B A 1 =B 1 , A 0 =B 0 Principle X0=1 when A0=B0 X1=1 when A1=B1 Circuit. XNOR !. 2-bit Comparator. A>B A1>B1 A1=B1, A0>B0 Circuit A<B A1<B1 A1=B1, A0<B0 Circuit. LAB.

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