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National Taiwan University - PS - 101
Civil Liberties DefinitionConstitutional and legal protections against government infringement on a host of personal freedoms, most of which are mentioned in the Bill of Rights.The Bill of Rights Origins: colonists fear of a tyrannical government; Cons
National Taiwan University - PS - 101
Federalism in the NewsA Travis County grand jury indicted DeLay, one of the country's most powerful politicians, for conspiring to violate the Texas law banning the use of corporate money in political campaigns. He is accused of funneling $190,000 in cor
National Taiwan University - PS - 101
Todays musical selection:Thelonious Monk London Collection, Volume 1Todays quotation:Others may hate you. Those who hate you dont win unless you hate them, and then you destroy yourself.- Richard M. Nixon, 1974, in speech to White House staff upon his
National Taiwan University - PS - 101
My Morning Jacket (Sweatbees)McGraw-Hill2006 by The McGraw-Hill Companies, Inc. All rights reserved.L* M W * * *0400-0518 HI 0131 WRIGHT*J F 0730F 0730F 0730F 0830F 0830F 0830F 0930F 0930F 0930F 1030F 1030F 1030DB 0030 CANCELLED CANCELLED DE 0238 CAN
National Taiwan University - PS - 101
TA Contact Info & Recitation SectionsName Lakeyta Bonnette Office 2004 Derby Phone 292-9498 Email bonnette.15@osu.edu Hours M,W 11:30-12:30 Recitations 9:30am 0048 Derby 10:30am 0049 Derby 9:30am 0029 Derby 10:30am 0048 Derby 8:30am 0238 Denney 9:30am 02
Berkeley - EE - 141
EE141 Fall 2005 Lecture 25 Power Distribution MemoryAdministrative StuffProject-2 presentations next Tuesday Sign up for time slot in 353 Cory Presentation template on web-site Electronic submission (due Monday 11pm) PPT slides, pre-layout netlist, post
Eckerd - PO - 343
Eckerd College International Relations and Global Affairs Spring 2009 PO 343S-001Prof. Bill Felice Office: FO122 864-8994 felicewf@eckerd.eduInternational Environmental Law Course DescriptionThis course explores the evolution and development of interna
American River - SAMSUNGSDP - 950
SDP-950Set preparation1Press the main lock button and raise the main support2Raise the lamp unit until it is convenient for use, and set it to the center of the document plate.DigitalPresenter SDP-950DXA2Di gi ta l Pr es en te r SD P95 0D XAT/
American River - ELMOEV - 400
Elmo Document Camera (EV-400AF)Part Names and FunctionsElmo Document Camera (EV-400AF)Part Names and Functions
UMass (Amherst) - WFCON - 470
OpinionTRENDS in Ecology and EvolutionVol.18 No.11 November 2003567Mating systems and the conservation of commercially exploited marine fishSherrylynn Rowe and Jeffrey A. HutchingsDepartment of Biology, Dalhousie University, Halifax, NS, Canada B3H
American River - ELMOEV - 400
Elmo Document Camera (EV-400AF)Setting Up and Stowing ProceduresElmo Document Camera (EV-400AF)Setting Up and Stowing Procedures
UNC Charlotte - ECGR - 4161
SRF05 - Ultra-Sonic RangerTechnical SpecificationIntroduction The SRF05 is an evolutionary step from the SRF04, and has been designed to increase flexibility, increase range, and to reduce costs still further. As such, the SRF05 is fully compatible with
Villanova University - ECE - 8700
%!PS-Adobe-3.0 %Title: (Syllabus ) %Creator: (Microsoft Word: LaserWriter 8 8.4) %CreationDate: (6:07 pm Thursday, January 16, 1997) %For: (Mobasseri) %Routing: (mailto:\000email@domain.com) %Pages: 1 %DocumentFonts: Times-Bold Helvetica Helvetica-Bold Ti
Villanova University - ECE - 8700
%!PS-Adobe-3.0 %Title: (Chapter8_part2) %Creator: (Microsoft Word: LaserWriter 8 8.2) %CreationDate: (9:07 Thursday, April 11, 1996) %For: (Mobasseri) %Pages: 36 %DocumentFonts: Times-Roman %DocumentNeededFonts: Times-Roman %DocumentSuppliedFonts: %Docume
Villanova University - ECE - 8700
%!PS-Adobe-3.0 %Title: (firstmonth) %Creator: (Microsoft Word: LaserWriter 8 8.4) %CreationDate: (4:38 pm Thursday, January 16, 1997) %For: (Mobasseri) %Routing: (mailto:\000email@domain.com) %Pages: 61 %DocumentFonts: Times-Roman %DocumentNeededFonts: Ti
Villanova University - ECE - 2409
SOLVING LINEAR SYSTEM OF EQUATIONSWhat we want to do Finding determinants Solving systems of linear equations Under determined systems Over determined systems Matrix inversion2001 Bijan Mobasseri2Basic situation Solving systems of linear equations i
Villanova University - COMM - 4790
%!PS-Adobe-3.0 %Title: (chapter9) %Creator: (Microsoft Word: LaserWriter 8 8.4) %CreationDate: (8:53 pm Tuesday, December 3, 1996) %For: (Mobasseri) %Routing: (mailto:\000email@domain.com) %Pages: 45 %DocumentFonts: Times-Roman %DocumentNeededFonts: Times
Villanova University - ECE - 2409
INTERPOLATION AND CURVE FITTING10 9.5 9 8.5 8 7.5 7 6.5 6 5.5 500.511.522.533.544.552001 Bijan Mobasseri1What is interpolation?lInterpolation is about generating new data between old data Interpolation can be used in at least two ways Su
Villanova University - ECE - 2409
20 18 16 14 12 10 8 6 4 2 0 50 40 30 20 10 0 0 20 10 30 40 502001 Bijan Mobasseri1Outline z z z z Wiremesh plots Surface plots with solid shading Shading control Viewpoint control2001 Bijan Mobasseri2DISPLAYING A FUNCTION AS A SET OF HEIGHTS z A 3-D
Villanova University - ECE - 2409
90 0.5 120 0.375 601500.25300.1251800210330240 2703002001 Bijan Mobasseri1Anatomy of a 2D plot1 0.8 DAMPED SINUSOIDPlot titleAxis color, Width etcAmplitude(volts)0.6 0.4 0.2 0 -0.2 -0.4 -0.6 -0.8Plot itself Color, linetype, thicknessAx
Villanova University - ECE - 2409
DERIVATIVES AND DIFFERENTIAL EQUATIONS 2001Bijan Mobasseri 1i+ v -dv i=C dtWHAT IS A DERIVATIVE? Derivative of f(x) at x=a is given byy=f(x) f(a+h)f ( a) = lim f (a + h ) - f ( a) h0 hf(a) a 2001Bijan Mobasseri 2a+hSIGNIFICANCE OF DERIVATIVE I
Villanova University - ECE - 2409
Complex Numbers: How to handle in MATLABimaginaryreal2001 Bijan Mobasseri1Why imaginary numbers? z In some ways, a complex number is a mere notation z What is -1? There is no real number that when squared, will produce -1 z So let's define one. Call
Villanova University - ECE - 2409
2001 Bijan Mobasseri1UNDERSTANDING COLORl Tounderstand color we must first understand color spaces come in contact with color through: Video(computers,TV's) Printed matter(magazines, brochures) Real Worldl We2001 Bijan Mobasseri2ADDITIVE COLOR MO
Villanova University - ECE - 2409
CHARACTERS AND STRINGSGoing Beyond Numbers2001 Bijan Mobasseri1WHAT DO WE WANT TO DO?MATLAB is first and foremost a "numerical" computation platform u In practice, however, there are many occasions where one has to work with characters or alpha-numer
Villanova University - ECE - 2409
X(:, [1:2:end])=[]ADVANCED MATRIX OPERATIONS - PART III2001 Bijan Mobasseri1How do you do this??2001 Bijan Mobasseri2EMPTY MATRICESlStatement x=[ ] defines a zero by zero matrix; an empty matrix. This is different from clear x which zeros x. We
Villanova University - ECE - 2409
ECE 2409 Fundamentals of MATLABFall 20012001 Bijan Mobasseri1HANDS-ON TOOL FOR ENGINEERING PROBLEM SOLVINGBijan Mobasseri Electrical and Computer Engineering2001 Bijan Mobasseri2Language of EngineeringlOLD WAYlNEW WAY10 1000 458 25 1200 632 3
Villanova University - ECE - 2409
X(:, [1:2:end])=[]ADVANCED MATRIX OPERATIONS - PART IIDefining and using pointerslYou can pick out the elements of an array using another array as pointers Define two arrays a=[7 5 2 3 9 6 5] v=[1 3]llThen a(v) extracts the 1st and 3rd element of
Villanova University - ECE - 2409
ADVANCED ARRAY OPERATIONS PART I2001 Bijan Mobasseri1ADVANCED MATRIX OPERATIONSlAdvanced matrix operations fall under the following categories. Building larger matrices Relational operations (larger/smaller) Logical operators (and ,or) Subscripting M
Villanova University - ECE - 2409
VILLANOVA UNIVERSITYDEPARTMENT OF ELECTRICAL AND COMPUTER ENGINEERING ECE 2409 F UNDAMENTALS OF M ATLAB F ALL 9 8 Instructor: Prof. Bijan Mobasseri Office: Tolentine 404 Hours: MWF 11:30-12:30 or by appt. Phone: 519-4958 Email:mobasser@ece.vill.edu homep
UCSD - BIBC - 102
Metabolic Biochemistry / BIBC 102 First Exam / Spring 2008structure for each intermediate molecule, showing the correct position of the hydrogen atoms at each carbon atom. Include the names or abbreviations of any other reactants and products (eg, ATP, A
Minnesota - ENED - 3342
CREX MEADOWS TRIP - Field Interpretive Methods 2009: April 17-18ITINERARY: Friday 4pm 6:30 8pm Saturday 6am 9am Depart from the north side of SpHC (bus parking lane). Landscape interpretation as we travel - Stop at Pattison State Park - geology intro/rev
University of Rochester - PHYS - 344
Phys 344Lecture 12Feb 19th , 2007HW10,111Mon. 2/19 S 5.1 5.2 Free Energy & Equilibrium HW12: S . 1,5,8,11,20,22 Wed. 2/21 S 5.3 Phase transformation (not van der Waals) HW13: S. 28, 30, 32, 35 (not d), 37 Fri. 2/23 S 5.3 van der Waals HW14: S. 48, 51
Northeastern University - CSU - 101
CSU101: Computer Science and Its Applications Syllabus Spring 2008Professor Ronald J. Williams Office: 334 WVH, 617-373-8683 Office Hours: Monday and Wednesday, 1:30-2:30, or by appointment Email: rjw@ccs.neu.edu Home Web Page: http:/www.ccs.neu.edu/home
University of Chicago Booth School of Business - BS - 41202
0.0225 -0.0440 -0.0591 0.0227 0.0077 0.0432 0.0455 0.0171 0.0229 -0.0313 0.0223 0.0166 -0.0208 0.0477 0.0065 0.0172 0.0522 -0.0094 0.0650 0.0445 0.0432 -0.0531 0.0678 0.0190 -0.0051 -0.0176 0.1083 0.0324 0.0127 -0.0405 0.012
Hudson VCC - PSS - 269
Published online April 5, 2007Particulate Organic Matter and Water-Stable Aggregation of Soil under Contrasting ManagementJoseph L. Pikul, Jr.* Shannon Osborne Michael Ellsbury Walter RiedellUSDA-ARS North Central Agricultural Research Lab. 2923 Medary
University of Chicago Booth School of Business - BS - 41202
19730131 0.0100519730228 -0.1393019730330 0.0693619730430 0.0864919730531 -0.1044819730629 0.1333319730731 0.6250019730831 0.1176519730928 0.2348219731031 0.1442619731130 -0.2406919731231 0.1886819740131 0.1396819740228 0.1559919740329 -0.16
Texas A&M - STAT - 613
Fall, 2006Name:Statistics 613 In-class Exam. Nov 28.1. [10 pts] (Exponential tilting of a random variable.) Suppose X is any random variable with density expcfw_c(x) and moment generating function m(x) = E(eX ). Let A() log m() be the cumulant generati
Wisconsin - CS - 766
Photographic Tone Reproduction for Digital ImagesErik Reinhard University of Utah Michael Stark University of Utah Peter Shirley University of Utah James Ferwerda Cornell UniversityAbstractA classic photographic task is the mapping of the potentially h
Wisconsin - CS - 766
Recovering High Dynamic Range Radiance Maps from Photographs Paul E. Debevec Jitendra MalikUniversity of California at Berkeley1ABSTRACTWe present a method of recovering high dynamic range radiance maps from photographs taken with conventional imaging
Lake County - ECE - 555
ECE 555Control of Stochastic Systems About Midterm IFall 2008Prof. Sean Meyn, meyn@illinois.eduWeds. & Thurs., 11:30-1:00, Room 170 ELThe rst midterm exam will be held on Thursday eve., October 9, 7:00-8:30 p.m. Content The exam will cover all of the
Arkansas Little Rock - C - 466
IEEE TRANSACTIONS ON NEURAL NETWORKS, VOL. 12, NO. 2, MARCH 2001181An Introduction to Kernel-Based Learning AlgorithmsKlaus-Robert Mller, Sebastian Mika, Gunnar Rtsch, Koji Tsuda, and Bernhard SchlkopfAbstractThis paper provides an introduction to sup
Arkansas Little Rock - C - 466
Toy ExampleD1weak classiers = vertical or horizontal half-planesRound 11111 0000 111111111111 000000000000 1111 0000 111111111111 000000000000 1111 0000 111111111111 000000000000 1111 0000 111111111111 000000000000 1111 0000 111111111111 000000000000
Arkansas Little Rock - C - 466
National Taiwan University - COURSE - 640
REVIEWSNEUROBLASTOMA: BIOLOGICAL INSIGHTS INTO A CLINICAL ENIGMAGarrett M. BrodeurNeuroblastoma is a tumour derived from primitive cells of the sympathetic nervous system and is the most common solid tumour in childhood. Interestingly, most infants exp
East Los Angeles College - CPE - 204211
RSA lect 2.oo3CS 70, March 10, 2005 review from Tuesday RSA algorithm proof observation: there are enough primes to make it relatively easy to find two of them; there are approximately x/(ln x) primes between 1 and x 1 in 20 SIDs are prime observation: e
University of Toronto - STA - 450
East Los Angeles College - CPE - 204211
Lecture notes on counting, used in CS 70 Fall 2001 (Paraphrased from Prof. Demmels Math 55 Lecture notes #15, #17) Review 1) The If S1 Counting Principles Sum Rule: S1 and S2 are disjoint sets, then the number of members of U S2 is |S1 U S2| = |S1| + |S2|
University of Toronto - STA - 450
University of Toronto - STA - 450
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University of Toronto - STA - 450
Regression Tree for CPUS data1.753 43.12000cach<27 cach>271.525 11.790002.249 7.64300mmax<6100 mmax>6100mmax<28000 mmax>280001.375 3.894001.704 4.045002.062 2.341002.555 1.52300mmax<1750 mmax>1750syct<360 syct>360cach<96.5 cach>96.5cach<56 c
University of Toronto - STA - 450
March 17, 2004 Recap TREES data = p inputs, 1 response ; in total N observations/instances procedure: grow the tree and then prune it using cost complexity pruning (tuning parameter 0 governs trade off between tree size and its goodness of fit to the d
University of Toronto - STA - 450
January 21, 2004 N.b. from last week feature variables lcavol, etc. were standardized on the full data set xi (xi - x)/ (xi - x)2/(n - 1) some x's are categorical (e.g. svi), so cfw_0, 1 cfw_a, b: very hard to interpret check the Errata on the book web pa
University of Toronto - STA - 450
January 28, 2004 Notes No oce hour on Friday, Jan 30 (23), but tutorial from 12. (Check with 410.) Next Wednesday, Rafal Kustra will do Sections 5.15.5 Today we are doing 4.4, 4.3; that is all of Chapter 4 The book Modern Applied Statistics with S by Vena
University of Toronto - STA - 450
Administration Tutorial/office hours Friday 13, SS2111/SS1088 (but *THIS* week not 23) Rafal meets grad students Friday 24 Tutorial this week (12) on fitting linear models in R (SS 2111) Please check web page regularly for updates You should by now have a
University of Toronto - STA - 450
Data mining/machine learning large data sets high dimensional spaces potentially little information on structure computationally intensive plots are essential, but complicated emphasis on means and variancesSTA 302 or 442 (Applied Statistics) - small dat
University of Toronto - STA - 450
STA 450S Time: Wed Fri Instructor:Statistical methods of data mining 1:00 3:00 1:00 2:00 SS 2111 SS 2111 978-5046N. Reid SS6002A reid@utstat.utoronto.caCourse Web Page: www.utstat.utoronto.ca/reid/450F03.html Office Hours Thu Fri 3:00 4:00 2:00 3:00Pr
University of Toronto - STA - 450
February 9, 2004 Notes No office hour on Friday, Feb 13 Today we are finishing Chapter 5 (skip 5.8, 5.9) HW 1 due by 4 pm Friday1Smoothing and regression Goal: Fit smooth but flexible functions Method: Replace input X by several columns of derived input
University of Toronto - STA - 450
ns package:splines R DocumentationGenerate a Basis Matrix for Natural Cubic SplinesDescription: Generate the B-spline basis matrix for a natural cubic spline.Usage: ns(x, df = NULL, knots = NULL, intercept = FALSE, Boundary.knots = range(x)Arguments: x: t
University of Toronto - STA - 450
> library(MASS)> library(splines)# Simulate 100 points from the function f(x)=x2 sin(2x) contaminated with errors N(0, st.dev=2)> input <- seq(-5, 5, length = 100)> outcome <- input^2 * sin(2 * input) + rnorm(100, 0, 2)> true.outcome<-input^2*sin(2*input
University of Toronto - STA - 450
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University of Toronto - STA - 450
%!PS-Adobe-2.0% created for rafal by RM Scene Graph v1.1 on Tue Feb 3 13:39:29 2004%EndComments /SimonSays 13 dict def SimonSays begin /mt cfw_ moveto def /lt cfw_ lineto def /sc cfw_ setrgbcolor def /fl cfw_ fill def /st cfw_ stroke def /cp cfw_ clo