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BU - LX - 500
CAS LX 500 Topics in Linguistics Fall 2000 Paul Hagstrom An overview of what weve seen Underlying plot:Language Universals December 12, 2000 Week 15: SummaryClassification Caveat: In many cases, it is not entirely true to say that a language can
BU - LX - 502
Is hungryCAS LX 50211a. Predicate modification and adjectives As a starting point, weve been considering ishungry to be an intransitive verb. adjective. Really, though, is is the verb, hungry is an An individual can either be hungry or not h
BU - LX - 522
CAS LX 522 Syntax IWeek 9a. A-movement (and a bit more head-movement)NegationnnWeve used negation as a test to see if the verb/auxiliary appears before it or after it as an indication of whether the verb has raised or not. Weve also used adve
BU - LX - 502
Context and meaningCAS LX 5026b. Context and inference 7.4- Nearly everything one reads or hears requiresknowledge of context to interpret. Physical context I don't know why they did it. This can include: Prior conversation And then he ju
BU - LX - 522
CAS LX 522 Syntax IWeek 3a. Categories, features, natural classes, and morphology.Previously, in LX522.n nnSo, here's where we were. We're trying to characterize our knowledge of syntax, using English speaker's knowledge of English as a windo
Pittsburgh - LASA - 98
Cristina Santos University of Toronto LASA 1998 Conference, Chicago The Cultural Politics of the Marginalized Giant: Brazil in Latin American Literary HistoryLiterary history at its height in the nineteenth century tended to contextualize literatur
Pittsburgh - JUL - 2001
2088txt_22to40c5 7/16/01 2:21 PM Page 22Bone, nerve, cartilage. . . all made from scratch from stem cells found where no one thought to look, in muscle. SHOWN HERE : Pitts Johnny Huard regenerated muscle fibers (red) in tissue from an animal that m
Pittsburgh - OCT - 2000
Bora Baysal and Joan Willett-Brozick found a mutation that causes paraganglioma tumors. Thats causing a stir because it looks as if the same defect may encourage the growth of common cancers.12PITTMEDCOVERSTORYWITH HELP FROM ANDEAN MOUNTAIN
BU - PM - 1
Quantum Cryptography with Orthogonal States?In a recent Letter [1], Goldenberg and Vaidman (GV) propose a new quantum cryptographical protocol based on orthogonal states, and claim that it is essentially dierent from all existing quantum cryptosyste
BU - PM - 1
DAMTP/97-124 quant-ph/9711025Unconditionally Secure All-Or-Nothing Disclosure of SecretsAdrian Kent Department of Applied Mathematics and Theoretical Physics, University of Cambridge,quant-ph/9711025 v2 20 Nov 1997Silver Street, Cambridge CB3
BU - DCC - 2
Edward A. Nardell, MD Associate Professor of Medicine Harvard Medical School Tuberculosis Control Officer Massachusetts Department of Public Health President, International Union Against Tuberculosis and Lung Disease, North American RegionComments
BU - LX - 502
CAS LX 502 Semantics3a. A formalism for meaning (contd) 3.2, 3.6Recap!F1 = Rules for generating and interpreting a small fragment of English.!Syntax: Phrase structure rules! !Reviewed on the next slide Idea: All and only sentences generat
BU - LX - 502
CAS LX 502 Semantics2b. A formalism for meaning 2.5, 3.2, 3.6Truth and meaning!The basis of formal semantics: knowing the meaning of a sentence is knowing under what conditions it is true.!Formal semantics, a.k.a. truth conditional semantics
BU - LX - 502
CAS LX 502 Semantics8a. Sense, reference, intension, extension, modality 5.1-2,3-4;7The topic of the class!Weve spent a fair amount of time talking about how we can build up an understanding of the meanings of sentence (or at least the truth co
BU - LX - 502
Your dog ate my homework.CAS LX 5021a. Introduction What does this sentence mean? Is it true? What is the current status of my homework? What was the prior status of my homework? Your dog will have eaten my homework. Your dog must have eat
Pittsburgh - CS - 2740
University of Pittsburgh CS 2740 Knowledge Representation Professor Milos HauskrechtHandout 2 September 10, 2008Problem assignment 1Due: Wednesday, September 17, 2008LispThe goal of this assignment is to practice your lisp programming skills
Pittsburgh - CS - 441
CS 441 Discrete Mathematics for CS Lecture 11Sets and set operationsMilos Hauskrecht milos@cs.pitt.edu 5329 Sennott SquareCS 441 Discrete mathematics for CSM. HauskrechtCourse administrationHomework 3: Due today Homework 4: Due next week
Pittsburgh - CS - 2740
CS 2740 Knowledge Representation Lecture 4Propositional logicMilos Hauskrecht milos@cs.pitt.edu 5329 Sennott SquareCS 2740 Knowledge RepresentationM. HauskrechtAdministration Homework assignment 1 is out Due next week on Wednesday, Septem
Pittsburgh - CS - 441
CS 441 Discrete Mathematics for CS Lecture 8Methods of ProofMilos Hauskrecht milos@cs.pitt.edu 5329 Sennott SquareCS 441 Discrete mathematics for CSM. HauskrechtCourse administration Homework 1 and Homework 2: Due today Homework 3 out to
Pittsburgh - CS - 1571
CS 1571 Introduction to AI Lecture 13Propositional logicMilos Hauskrecht milos@cs.pitt.edu 5329 Sennott SquareCS 1571 Intro to AIM. HauskrechtAnnouncements Homework assignment 5 is out Midterm exam: Wednesday, October 25, 2006 Course web p
Pittsburgh - CS - 3750
Probabilistic Principal Component Analysis and the E-M algorithmThe Minh Luong CS 3750 October 23, 2007Outline Probabilistic Principal Component Analysis Latent variable models Probabilistic PCA Formulation of PCA model Maximum likelihood est
Pittsburgh - CS - 441
CS 441 Discrete Mathematics for CS Lecture 19Summations, CardinalityMilos Hauskrecht milos@cs.pitt.edu 5329 Sennott SquareCS 441 Discrete mathematics for CSM. HauskrechtCourse administration Homework 5 is due today Homework 6 is out Due o
Pittsburgh - CS - 2740
University of Pittsburgh CS 2740 Knowledge Representation Professor Milos HauskrechtHandout 5 October 1, 2008Problem assignment 4Due: Wednesday, October 8, 2008UnicationThe unication process in FOL aims to nd the most general substitution tha
Pittsburgh - CS - 2740
CS 2740 Knowledge representation Lecture 1Knowledge representationMilos Hauskrecht milos@cs.pitt.edu 5329 Sennott SquareCS 2740 Knowledge representationM. HauskrechtCourse administrationInstructor: Milos Hauskrecht 5329 Sennott Square milo
Pittsburgh - CS - 3750
CS 3750 Machine Learning Lecture 11Monte Carlo inferenceMilos Hauskrecht milos@cs.pitt.edu 5329 Sennott SquareCS 3750 Advanced Machine LearningMarkov chain Monte Carlo Likelihood weighting: samples are generated according to Q and every sampl
Pittsburgh - CS - 2710
CS 2710 Foundations of AI Lecture 8Adversarial searchMilos Hauskrecht milos@cs.pitt.edu 5329 Sennott SquareCS 2710 Foundations of AIGame search Game-playing programs developed by AI researchers since the beginning of the modern AI era Progr
Pittsburgh - CS - 1571
CS 1571 Introduction to AI Lecture 12Adversarial searchMilos Hauskrecht milos@cs.pitt.edu 5329 Sennott SquareCS 1571 Intro to AIM. HauskrechtAnnouncements Homework assignment 4 is out Programming and experiments Simulated annealing + Gen
Pittsburgh - MAY - 2005
FEATUREAN EDITOR ON A MISSION BY JESSICA MESMANSO YOU WANT TOCHANGETHE WORLD?HSome people might say Ive reached a point in my life where Im not afraid. But Ive never been afraid, says Catherine DeAngelis.PHOTOGRAPHY |ere comes Dr. De, h
Pittsburgh - EXP - 1652
Internet WavesDisruptive Technologies> Cool ToolsDigging Digsby and Tweeting Locally> Database ReviewSmart Search Engines Find Best Facts Page 26Page 19Page 41iJune 2008Vol. 25 I Issue 6The Newspaper for Users and Producers of Elect
Pittsburgh - SIS - 793
MARLA MISEKMirror Image InternetThrough the Looking GlassIike the heroine of Lewis Carroll's Alice's Adventures in Wotiderland, who finds herself in a fantastical place where things are not always as they seem, Intemet users generally have no
Pittsburgh - EXP - 793
MARLA MISEKMirror Image InternetThrough the Looking GlassIike the heroine of Lewis Carroll's Alice's Adventures in Wotiderland, who finds herself in a fantastical place where things are not always as they seem, Intemet users generally have no
Pittsburgh - SIS - 1821
BUILDING COMMUNITY AS A LIBRARY IN A 3D ENVIRONMENTKelly Czarnecki Technology education librarianPublic Library of Charlotte and Mecklenburg County North CarolinaUSA Received January2008It is predicted in a recent reportby GartnerInc that '80% of a
Pittsburgh - EXP - 1821
BUILDING COMMUNITY AS A LIBRARY IN A 3D ENVIRONMENTKelly Czarnecki Technology education librarianPublic Library of Charlotte and Mecklenburg County North CarolinaUSA Received January2008It is predicted in a recent reportby GartnerInc that '80% of a
Pittsburgh - EXP - 325
CLICK FIRST, ASK QUESTIONS LATER: UNDERSTANDING TEEN ONLINE BEHAVIOURJack Goodman CEO Tutoring AustralasiaExamined are how teenagers engage with technology, particularly the internet; what services, sites and programs they find compelling; and how
Pittsburgh - SIS - 1834
Social Networking Mixes the Hip with the Proven"THIS YEAR'S EXPLOSIVE GROWTH IN SOCIAL SOFTWARE REMINDS ME OF SHAKESPEARE'S FAMOUS LINE FROM THE TEMPEST, 'WHAT IS PAST IS PROLOGUE."' When Computers in Librariestakes up K. H UVWE the topic of Hip Hig
Pittsburgh - EXP - 1834
Social Networking Mixes the Hip with the Proven"THIS YEAR'S EXPLOSIVE GROWTH IN SOCIAL SOFTWARE REMINDS ME OF SHAKESPEARE'S FAMOUS LINE FROM THE TEMPEST, 'WHAT IS PAST IS PROLOGUE."' When Computers in Librariestakes up K. H UVWE the topic of Hip Hig
Pittsburgh - EXP - 602
Chapter 5Social VideoVideoblogging & YouTuben the past year, viewing and creating video for the Web skyrocketed to the top of many Internet users' lists. The popularity of YouTube, Google Video, and other sharing sites, coupled with the ease of
Pittsburgh - EXP - 116
3 6 I InformationTodayApril 2007www.lntotocfav.coniwww.infotoday.com/linkupYour Personal Guide 1 0 t:he V\#eb :omeA 'del.icio.us' Way to Use Bookmarksregister With del.icio.usby THOMAS PACKThe Folksonomic ApproachEDITED BYLoRAiNF P
Pittsburgh - EXP - 228
practice & researchblogging for beginnersCan the blogging phenomenon offer anything to people with learning disabilities? Yes, says Denise Stokes, who co-ordinates a pioneering group based in CoventryKeywords comrriLinication information techno
Pittsburgh - EXP - 1654
IOWWW.IWR.CO.UK/INFOTECHSOCIAL COMPUTING WITHOUT TEARSReluctant IT departments are playing it safe with social networking, but that could all be about to change, as David Tebbutt explainsfew months ago the IWR blog carried a post about nast\- goi
Pittsburgh - CIDDEFALL - 02
Media IN and FOR the Language Class Presenter: Zsuzsa HorvthIntroductionSponsored by CIDDE Supported by the Robert Henderson Language Media CenterMedia and Technology in the ClassroomRoom with media service: - pick up key (Instructional Media Se
Pittsburgh - TECHWORKSH - 01
Stacks, Buttons, Fields, and Cards in HyperCardCreating New Stacks Find the icon for "Home" or "HyperCard" and double-click on it.If you are on the first card of the Home stack the upper left portion of your screen probably looks something like t
Pittsburgh - TECHWORKSH - 01
1. Basic Hypercard InformationCommands Which Are Used in Almost All Macintosh Programs Command key: (on either side of the Space Bar)+Q +N +O +W +S +Z +X +C +V +PQuit from a program New file (inside Hypercard: "New card") Open file or program (d
Pittsburgh - SUPER - 7
Administrative Issues in Outbreak InvestigationsOR.How to Optimize Your 15 Minutes of FameM. Joan Mallick, R.N., Ph.D.Part AGetting to Know the Media Before an Emergency StrikesBackgroundA The anthrax "outbreak" of 2001 brought theissue
Wisc Stevens Point - ED - 362
Classroom RulesClassroom rules will be set by the students, but guided by the three teachers around five core values: Body Basics, Honesty, Respect, Responsibility, and Caring. Once the students have created rules that they can agree on, the three t
Pittsburgh - LASA - 97
Better Workers, Better Wives: Vocational Education for Poor Women in Turn-of-the-Century Chile1by Elizabeth Quay Hutchison Colby CollegePrepared for delivery at the 1997 Meeting of the Latin American Studies Association, Continental Plaza Hotel,
BU - SPG - 06
NBER WORKING PAPER SERIESABORTION AND SELECTION Elizabeth Oltmans Ananat Jonathan Gruber Phillip B. Levine Douglas Staiger Working Paper 12150 http:/www.nber.org/papers/w12150 NATIONAL BUREAU OF ECONOMIC RESEARCH 1050 Massachusetts Avenue Cambridge
BU - PDFFALL - 07
R&D and productivity: Estimating production functions when productivity is endogenousUlrich Doraszelski Harvard University and CEPR Jordi Jaumandreu Universidad Carlos III and CEPRApril 2007 Preliminary and incomplete. Comments very welcome.Abst