UMass (Amherst) - CMPSCI - 585

S t r in g E d it D is t a n c e( a n d in t r o t o d y n a m ic p r o g r a m m in g )L e c tu re # 4Computational LinguisticsCMPSCI 591N, Spring 2006University of Massachusetts AmherstAndrew McCallumA n d r e w M c C a llu m , U M a s s A m h e

Rutgers - 510 - 101

Rutgers - 510 - 101

UMass (Amherst) - CMPSCI - 585

P r o b a b ilit yL e c tu re # 7Introduction to Natural Language ProcessingCMPSCI 585, Fall 2007University of Massachusetts AmherstAndrew McCallumA n d r e w M c C a llu m , U M a s s A m h e r s tT o d a y s M a in P o in t s Remember (or learn)

Rutgers - 510 - 101

UMass (Amherst) - CMPSCI - 585

C la s s if ic a t io n & In f o r m a t io n T h e o r yL e c tu re # 8Introduction to Natural Language ProcessingCMPSCI 585, Fall 2007University of Massachusetts AmherstAndrew McCallumA n d r e w M c C a llu m , U M a s s A m h e r s tT o d a y s

Rutgers - 510 - 101

UMass (Amherst) - CMPSCI - 585

N o is y C h a n n e l, N - g r a m s & S m o o t h in gL e c tu re # 9Introduction to Natural Language ProcessingCMPSCI 585, Fall 2007University of Massachusetts AmherstAndrew McCallumA n d r e w M c C a llu m , U M a s s A m h e r s tT o d a y s

Rutgers - 510 - 101

Rutgers - 510 - 101

UMass (Amherst) - CMPSCI - 585

P a r t - o f - s p e e c h T a g g in g &H id d e n M a r k o v M o d e l In t r oL e c tu re # 1 0Introduction to Natural Language ProcessingCMPSCI 585, Fall 2007University of Massachusetts AmherstAndrew McCallumA n d r e w M c C a llu m , U M a

Rutgers - 510 - 101

UMass (Amherst) - CMPSCI - 585

ProbabilisticContext Free GrammarsLecture #14Computational LinguisticsCMPSCI 591N, Spring 2006Andrew McCallum(including slides from Jason Eisner)Ambiguity in Parsing Time flies like an arrow. Fruit flies like a banana. I saw the man with the tel

Rutgers - 510 - 101

Rutgers - 510 - 101

Rutgers - 510 - 101

UMass (Amherst) - CMPSCI - 585

Probabilistic Parsingin PracticeLecture #15Computational LinguisticsCMPSCI 591N, Spring 2006Andrew McCallum(including slides from Michael Collins, Chris Manning, Jason Eisner, Mary Harper)Todays Main Points Training data How to evaluate parsers

Rutgers - 510 - 101

Rutgers - 510 - 101

UMass (Amherst) - CMPSCI - 585

Maximum EntropyLecture #13Introduction to Natural Language ProcessingCMPSCI 585, Fall 2007University of Massachusetts AmherstAndrew McCallum(Slides from Jason Eisner and Dan Klein)1summary of half of the course (statistics)Probability is Useful

Rutgers - 510 - 101

Rutgers - 510 - 101

UMass (Amherst) - CMPSCI - 585

The pragmatics of questions and answersChristopher PottsUMass Amherst LinguisticsCMPSCI 585, November 6, 2007BackgroundPragbotThis lecture123456A brief, semi-historial overview of linguistic pragmaticsA few notes on the SUBTLE projectSome i

Rutgers - 510 - 101

Rutgers - 510 - 101

UMass (Amherst) - CMPSCI - 585

Machine TranslationLecture #17Introduction to Natural Language ProcessingCMPSCI 585, Fall 2007Andrew McCallum(including slides from Michael Collins, and Dan Klein)The challenges of Machine TranslationLexical AmbiguityExample 1 :b o o k the ightr

Rutgers - 510 - 101

Rutgers - 510 - 101

UMass (Amherst) - CMPSCI - 585

S t a t is t ic a l M o d e ls o f S e m a n t ic s a n dU n s u p e r v is e d L a n g u a g e D is c o v e r yL e c tu re # 1 8Introduction to Natural Language ProcessingCMPSCI 585, Fall 2007Andrew McCallumC o m p u t e r S c ie n c e D e p a r t

Rutgers - 510 - 101

Rutgers - 510 - 101

UMass (Amherst) - CMPSCI - 585

IntroQuestionsImplicaturesDecision theoryConclusionThe pragmatics of questions and answers, Part 2:Partition semantics and decision-theoreticpragmaticsChristopher PottsUMass Amherst LinguisticsCMPSCI 585, December 4, 2007IntroQuestionsImplica

Rutgers - 510 - 101

Rutgers - 510 - 101

UMass (Amherst) - CMPSCI - 585

Information Extraction:Coreference and Relation ExtractionLecture #20C o m p u ta tio n a l L in g u is tic sC M P S C I 5 9 1 N , S p r in g 2 0 0 6University of Massachusetts AmherstA n d r e w M c C a llu m1Information Extraction:Coreference a

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Information ExtractionIn tr o d u c tio n to N a tu r a l L a n g u a g e P r o c e s s in gC M P S C I 5 8 5 , F a ll 2 0 0 7U n iv e r s ity o f M a s s a c h u s e tts A m h e r s tA n d r e w M c C a llu mGoal:M in e a c t io n a b le k n o w le

Purdue - BME - 201

BME 201BiomoleculesFall 2008Instructor: Gudrun SchmidtTeaching Assistant: Marcus KramerExam 1September 25, 2008Room: ARMS 10108.00pm- 10.00pmName:Please place all answers in the space provided after each question.Do not write on the back side o

Purdue - BME - 201

Purdue - BME - 201

BME 201:Fall 2010 InformationLecture Days, Time and Location:Tuesday & Thursday, 9.00-10.15am,Office,BMED 2033,BMED 1001Course Instructor,Dr. Gudrun Schmidt,Email Addressgudrun@purdue.eduOffice Hours: Tuesday and Thursday 10.15-11.15amNo appoi

Purdue - BME - 201

Hyaluronic Acid (HA)HA was initially discovered in a vitreous body of cattle eye and was later found to be distributed allthroughout the body, especially in the extracellular matrix of cells and synovial fluids. It is usuallyproduced through microbial

Purdue - BME - 201

BME 201August 26, 2010Fall 2010Introduction to saturated and unsaturated hydrocarbonsOverview of functional groupsTodays lecture is based on Vollhardt/Shore (6th Edition), chapters 1 and 2.You will find it easier to do the suggested problems (page 9

Purdue - BME - 201

BME 201,August 31, 2010Suggested problems review material:Vollhardt, 6th Ed. Chapter 2, problems no. 40, 41, 45, 46; Chapter 3, problemsno.17, 18, 22, 23, 27, 46, 48Todays lecture is based on Vollhardt, pages 73-102, 104-118, 122-124, 126127, 131-150

Purdue - BME - 201

BME 201Suggested problems review material:Vollhardt & Shore, 6th Ed., Chapter 6, problems no. 31-34, 38; Chapter7, problem no.25; Chapter 8, problems 24-26 and exercises 8-15 and 816; Chapter 9, problems 31, 41Todays lecture is based on Vollhardt, sel

Purdue - BME - 201

BME 201Suggested problems review material:Vollhardt, 6th Ed., Chapter 9, problems no. 56,57,58; new reactions andimportant concepts on page 374-377; reactions of alcohols on page 378,chapter 15, exercises 15-1, 15-2, 15-3, 15-4, The big picture on pag

Purdue - BME - 201

BME 201, Aldehydes and KetonesSuggested problems review material:Vollhardt, problems Chapter 17Todays lecture is based on Vollhardt, selected materialsfrom chapter 17 (aldehydes and ketones) as well asselected handouts. Handouts may have marked chapt

Purdue - BME - 201

BME 201 Carboxylic acids, Esters and DerivativesSuggested problems review material:Vollhardt, Chapter 19, problems no. 27, 28, 29 exercise19.1Todays lecture is based on Vollhardt, selected materialsfrom chapters 19 and 20 (carboxylic acids, esters an

Purdue - BME - 201

BME 201, Amines and DerivativesSuggested problems and review material:Vollhardt 6th Ed., Chapter 21, Problems: 27, 28, 35, 36, 37,63, 65, Chemical highlight 21-1Todays lecture is based on Vollhardt, selected materialsfrom chapters 21 (amines and deri

Purdue - ENGR - 195

ENGR 19500 Function DiscoveryChoosing a ModelFunction DiscoveryExcel and MATLAB extend the tools of linear regression to other data models. An importantskill in modeling is identifying the functional relationship between two variables of interest.Some

Purdue - ENGR - 195

ENGR 19500 Spring 2010Class 11bActivity 1Activity 2 Function Discovery in MATLAB(Estimated Time = 20 minutes)You have been employed as an intern for a leading bioremediation company. The company isconducting research with microorganisms, especially

Purdue - ENGR - 195

function result_var = cal_factorial(num_input)%%% Programmer(s) and Purdue Email Address(es):% 1. login@purdue.edu%% Section #:%% Assignment #:%% Academic Integrity Statement:%%I/We have not used source code obtained from%any other unauthor

Purdue - ENGR - 195

ENGR 19500(II) Spring 2010Activity 1Class 3aActivity 1: MATRIX MANIPULATIONS(Estimated Time: 10 minutes)Through this exercise you will learn how to change values and manipulate matrices inMATLAB.Answer the questions in Activity 1 using the 3x4 matr

Purdue - ENGR - 195

ENGR 195(II) - Spring 2010Class 4B - Linear RegressionActivity 1 - Least Squares MethodActivity 2 - Goodness of Fitixi1135247ei2.53459ei2[yi-ymean]23.525Sums:xiyif(xi) predicted y0.52xi2yi12.5Mean:1. Compute the slope(a) an

Purdue - ENGR - 195

ENGR 195(II) - Spring 2010Class 4B - Linear RegressionActivity 1 - Least Squares MethodActivity 2 - Goodness of Fitiyixi2xiyif(xi) predicted yeiei2[yi-ymean]2110.510.51-0.50.254232.597.51.750.750.5625035225102.5-0.50.2

Purdue - ENGR - 195

ENGR 195(II) Spring 2010Class 5aActivity 1Activity 1 Writing a function to compute the volume of a box(Estimated Time: 10 minutes)In this exercise, you and a partner will practice writing a user-defined function starting from aworking program.1. Op

Purdue - ENGR - 195

ENGR 195(II) Spring 2010Class 5bActivity 1Activity 1 User-Defined Function(Estimated Time = 20 minutes)You will write a user-defined function that calculates the average of a vector.oThe input argument for the function will be a vector.oThe outpu

Purdue - ENGR - 195

ENGR 195(II) Spring 2010Class 6bActivity 1Activity 1 Logical OperatorsPair Exercise(Estimated Time = 20 minutes)Through this exercise, your team will practice reading logical expressions.A. I have some money to invest. I have several rules for my i

Purdue - ENGR - 195

ENGR 195(II) Spring 2010Class 7aActivity 1Activity 1 Simple whileend Loop to Add Elements of a Vector(Estimated Time: 15 minutes)In this exercise, you and a partner will practice using a whileend structure to add the elementsof a simple array.1. Op

Purdue - ENGR - 195

ENGR 195(II) Spring 2010Class 7bActivity 1Activity 1 Fibonacci Series GenerationIn this exercise, you and a partner will practice using the whileend statement to generate theFibonacci Series.LeonardoFibonacciwas anItalianmathematician who lived

Purdue - ENGR - 195

ENGR 19500 Spring 2010Class 8aActivity 1Activity 1 - FOR Loops for Generating a Matrix of Order M N(Estimated Time = 20 minutes)Write a MATLAB function that will create a matrix of order M N, where M denotes thenumber of rows and N denotes the numbe

Purdue - ENGR - 195

ENGR 195(II) Spring 2010Class 9aActivity 1Activity 1 Flowchart for Travel Mode ChoiceAs part of Homework 8, your team converted your solution (procedure) to MEA 1 to a flowchartin preparation to convert your procedure to MATLAB code. Your peer teache

Purdue - ENGR - 195

ENGR 19500 Spring 2010Class 12aActivity 1Activity 1 - Function Discovery GUI(Estimated Time = 45 minutes)Design and build a Graphical User Interface (GUI) in MATLAB that will help the user determinethe relationship and general form of the equation f