Course Hero has millions of student submitted documents similar to the one
below including study guides, practice problems, reference materials, practice exams, textbook help and tutor support.
Find millions of documents on Course Hero - Study Guides, Lecture Notes, Reference Materials, Practice Exams and more.
Course Hero has millions of course specific materials providing students with the best way to expand
their education.
Below is a small sample set of documents:
UPenn - HCMG - 05
COST-BENEFIT AND COSTEFFECTIVENESS ANALYSIS HCMG 901/301 Lecture #2 A Examples of CE AnalysisDaniel PolskySeptember 15, 2005Abdominal Aortic Aneurysm (AAA) An abdominal aortic aneurysm (AAA) is an abnormal expansion of the abdominal portion of t
UPenn - ISPOR - 05
COMPARISON OF COSTS AND EFFECTSCOST-EFFECTIVENESS RATIOS OR NMB?!Cost-effectiveness ratios)C / )Q !Net monetary benefit100N = 39 9275 % of studiesRc)Q - )C where Rc equals willingness to pay WERE COSTS AND EFFECTS COMPARED?5025 8
UPenn - ISPOR - 03
GLOSSARY OF STATA COMMANDS USED IN PROGRAMS append: appends data from saved file (i.e., adds observations) to dataset in active memory bsample: low level bootstrap algorithm; it draws a random sample with replacement from the dataset in active memory
UPenn - SCT - 06
Designing Economic Evaluations in Randomized TrialsSociety for Clinical Trials 27th Annual Meeting May 2006 Henry Glick and Jalpa Doshi www.uphs.upenn.edu/dgimhsrCost-Effectiveness History Traditionally used decision analytic models decision tre
UPenn - ISPOR - 06
Statistical Considerations in Economic Evaluations ISPOR 11th Annual International Meeting May 21, 2006 Agenda 1:00 - 1:10 1:10 - 2:10 2:10 - 3:50 Introductions Economic Evaluation in Randomized Trials, Henry Glick Evaluating Patient Level Costs, Jal
UPenn - ISPOR - 06
Designing Economic Evaluations in Randomized TrialsStatistical Considerations in Economic EvaluationsISPOR 11th Annual International Meeting May 2006 Henry Glick, Daniel Polsky, Jalpa Doshi www.uphs.upenn.edu/dgimhsrGood Value for the Cost Cutti
UPenn - ISPOR - 06
ANALYZING TREATMENT COSTS IN RANDOMIZED TRIALS Jalpa Doshi, Henry Glick, and Daniel Polsky University of Pennsylvania Health System Statistical Considerations in Economic Evaluations ISPOR 11th Annual International Meeting May 21, 2006 www.uphs.upenn
UPenn - MDM - 05
EVALUATING TREATMENT COSTS IN RANDOMIZED TRIALS Jalpa Doshi, Henry Glick, and Daniel Polsky University of Pennsylvania Health System Economic Assessment in Clinical Trials SMDM 27th ANNUAL MEETING October 22, 2005 www.uphs.upenn.edu/dgimhsr OUTLINE
UPenn - MDM - 05
EVALUATING TREATMENT COSTS IN RANDOMIZED TRIALS Jalpa Doshi, Henry Glick, and Daniel Polsky University of Pennsylvania Health System Economic Assessment in Clinical Trials SMDM 27th ANNUAL MEETING October 22, 2005 www.uphs.upenn.edu/dgimhsrAppendix
UPenn - ISPOR - 07
ANALYZING TREATMENT COSTS IN RANDOMIZED TRIALSJalpa Doshi, PhD, Henry Glick, PhD, and Daniel Polsky, PhD University of Pennsylvania School of Medicine www.uphs.upenn.edu/dgimhsrOutline Univariate Analysis Statistical Tests General Advice Multi
UPenn - CARMA - 04
COST EFFECTIVENESS ANALYSIS AND NEW METHODOLOGICAL APPROACHES Henry Glick University of Pennsylvania www.uphs.upenn.edu/dgimhsrDEMONSTRATING THAT A TECHNOLOGY IS "GOOD VALUE FOR THE COST" (I)!10-15 years ago, most likely would have supported th
UPenn - CIT - 597
JUnitApr 10, 2009Test suitesObviously you have to test your code to get it working in the first place You can do ad hoc testing (running whatever tests occur to you at the moment), or You can build a test suite (a thorough set of tests that
UPenn - CIT - 597
Aspect-Oriented ProgrammingApr 10, 2009Programming paradigmsProcedural programming Executing a set of commands in a given sequence Fortran, C, Cobol Evaluating a function defined in terms of other functions Lisp, ML, OCaml Proving a theorem
UPenn - CIT - 591
JUnitApr 10, 2009Test suitesObviously you have to test your code to get it working in the first place You can do ad hoc testing (running whatever tests occur to you at the moment), or You can build a test suite (a thorough set of tests that
UPenn - CIT - 597
ServletsApr 10, 2009ServersA server is a computer that responds to requests from a clientTypical requests: provide a web page, upload or download a file, send emailA server is also the software that responds to these requests; a clien
UPenn - P - 414
Physics 414/521 Lecture 1Professor Joseph Kroll Dr. Jose Vithayatil University of PennsylvaniaOutline Standard units Discussion of uncertainties statistical systematic reminder about propagation of uncertainties Mean & VarianceWe do not u
UPenn - P - 364
Checklist for Physics 364 Lab #3: ac Circuits=1. Verifying that Kirchhoff's laws are satisfied for complex impedance o They should have schematic of the circuit and a description of where they placed the oscilloscope probes. The schematic
UPenn - P - 364
yytkrty7@2ee&te l { d q h h d f d q h p t o o l h 3~qx3Q7Qgrwrj{zQ7Q`rTyh`w%ct(3rxywj!g!d h% r!gx!YCSkrQwj!rwx%mr!gQj`QSlYjQx!%`rh d f f s on l h d } d f { d q h fd s q s
UPenn - P - 364
(Wi}s7@2t& z A " E A H B 6 $ " E 4 A E d x d h g xp h z z y d d g }mifSUsn%&5!bjuWYtjTs3tS2rmI!msfVe!j u ex xy u p il d y u ~ dx g l d i d d x d uYkIk!Qt!WfxijesWgiQ!t5YVWjlYim!5Ybfe3fj!jW(vflmn
UPenn - P - 364
Physics 364: Some General Remarks about the Laboratory 17 Sep. 2001 Prof. Kroll Please read this information before coming to the rst laboratory session on 17 September 2001. Information about the laboratories (schedule, lab write-ups, etc.) can be f
UPenn - P - 364
Physics 364 Fall 2001 Laboratories Prof. Kroll_ | | | | | | | | | | | | |BARBOUR,SAMUEL 10103593 | | | | | | | | | | | | |_|_|_|_|_|
UPenn - P - 364
Max,For the first three homework problems, I would like you to check oneof the problems carefully (specified below) and then see if theyattempted the other problems. The problems I would like to see checkedcarefully areProblem Set #1: Problem
UPenn - P - 364
Kirchhos Voltage Law (KVL): the sum of voltages around any closed loop is zero, that is, voltage gains equal voltage losses. Kirchhos Current Law (KCL): the sum of currents into a node is zero, that is, the sum of currents into the node equals the su
UPenn - P - 364
Dear Class,If you are receiving this message, it is because you are currently enrolledto take Physics 364 or 521 this Fall semester. I am writing to you to provideyou with some important information about the class. There is a web page for the
UPenn - DPF - 2006
Observation of B0s B0s OscillationsThe CDF CollaborationJoseph Kroll University of Pennsylvania1st St. Ocean City, NJ, Feb. 7, 2003, H2O 350 FDPF Waikiki, HI 2 Nov 2006Results presented today are contained in two papers:) on ti ra o ab 6 )
UPenn - DOE - 2005
Penn CDF B Physics OverviewJoseph Kroll Penn DOE Site Visit 8 August 2005Topics Bs & B0 Flavor oscillations ( ms) leadership Kroll, Jones, Oldeman flavor tagging Jones, Usynin, Kroll lifetime resolution Heijboer trigger monitoring & innov
UPenn - DOE - 2005
CDF OverviewJoseph Kroll Penn DOE Site Visit 8 9 August 2005Context of this presentationPast 4 years CDF II has moved from construction & commissioning maintaining & analyzing Penn CDF Group has made major contributions to CDF II & made a major
UPenn - UCC - 1
1-105. Territorial Application of the Act; Parties Power to ChooseApplicable Law and Judicial Forum(a) Unless the law determining the rights and obligations of parties with respect to anyaspect of a transaction governed by this Act has been se
UPenn - N - 03
Statistical Phrase-Based Translation Proceedingsof HLT-NAACL 2003 Main Papers , pp. 48-54 Edmonton, May-June 2003Philipp Koehn, Franz Josef Och, Daniel Marcu Information Sciences Institute Department of Computer Science University of Southern Cal
UPenn - C - 96
H M M - B a s e d Word Alignment in Statistical TranslationStephan Vogel Hermann Ney Christoph Tillmann L e h r s t u h l ffir I n f o r m a t i k V, R W T H A a c h e n D-52056 Aachen, Germany {vogel, n e y , t illmann}@inf ormat ik. rwth-aachen, d
UPenn - P - 03
Chunk-based Statistical TranslationTaro Watanabe, Eiichiro Sumita and Hiroshi G. Okuno {taro.watanabe, eiichiro.sumita}@atr.co.jp ATR Spoken Language Translation Department of Intelligence Science Research Laboratories and Technology 2-2-2 Hikarida
UPenn - C - 00
ABL: Alignment-Based LearningMenno van Zaanen School of C o m p u t e r S t u d i e s University of Leeds LS2 9 J T L(~eds UK menno@scs, l e e d s , a c . ukAbstract This ])al)er introdu(:es a new tyl)e of grammar learning algorithm, iilst)ired l)
UPenn - P - 00
An Information-Theory-Based Feature Type Analysis for the Modelling of Statistical ParsingSUI Zhifang , ZHAO Jun , Dekai WU Hong Kong University of Science & Technology Department of Computer Science Human Language Technology Center Clear Water B
UPenn - P - 03
A spoken dialogue interface for TV operations based on data collected by using WOZ methodJun Yeun-Bae Goto Kim NHK STRL NHK STRL Human Science Human Science Tokyo 157-8510 Tokyo 157-8510 Japan Japangoto.j-fw @nhk.or.jp kimu.y-go @nhk.or.jpMasaru
UPenn - P - 03
Loosely Tree-Based Alignment for Machine TranslationDaniel Gildea University of Pennsylvania dgildea@cis.upenn.eduAbstractWe augment a model of translation based on re-ordering nodes in syntactic trees in order to allow alignments not conforming
UPenn - C - 90
Toward Memory-based TranslationSatoshi S A T O and Ma.koto N A G A O Dept. of Electrical Engineering, K y o t o University Y o s h i d a - h o n m a c h i , Sa.kyo, K.yoto, 606, Ja.pan sa.to@kuee.kyoto-u.ac.jpAbstractAn essential problem of examp
UPenn - J - 93
Machine Translation: A Knowledge-Based Approach Sergei Nirenburg, Jaime Carbonell, Masaru Tomita, and Kenneth Goodman(Carnegie Mellon University) San Mateo, CA: Morgan Kaufmann Publishers, 1992, xiv + 258 pp. Hardbound, ISBN 1-55860-128-7, $39.95T
UPenn - C - 00
Automatic Corpus-Based Thai Word Extraction with the C4.5 Learning AlgorithmVIRACH SORNLERTLAMVANICH, TANAPONG POTIPITI AND THATSANEE CHAROENPORN National Electronics and Computer Technology Centel, National Science and Technology Development Agency
UPenn - C - 90
Reversible Unification Based M a c h m . FranslatlonGertjan van Noord OTS RUU Trans 10 3,512 JK Utrecht Valmoord~hutruu59.BH~netMarch 28, 1990Abstract[n this paper it will be shown how unification g r a m m a r s can be used to build a reversib
UPenn - C - 00
Chart-Based Transfer Rule Application in Machine TranslationAdam MeyersNew York University meyers@cs.nyu.edu M i c h i k o Kosaka Monlnouth University kosaka@monmouth.eduR a l p h GrishInanNew York University grishman@cs.nyu.eduAbstract35"ans
UPenn - P - 99
Corpus-Based Identification of Non-Anaphoric N o u n PhrasesD a v i d L. B e a n and E l l e n R i l o f fD e p a r t m e n t of C o m p u t e r Science University of U t a h Salt Lake City, U t a h 84112 {bean,riloff}@cs.utah.eduAbstract Corefer
UPenn - P - 90
ZERO MORPHEMES IN UNIFICATION-BASED COMBINATORY CATEGORIAL GRAMMAR Chinatsu Aone The University of Texas at Austin & MCC 3500 West Balcones Center Dr. Austin, TX 78759 (aone@mcc.com) ABSTRACT In this paper, we report on our use of zero morphemes in U
UPenn - P - 96
A N e w Statistical Parser Based on B i g r a m Lexical D e p e n d e n c i e sCollins* Dept. of Computer and Information Science University of Pennsylvania P h i l a d e l p h i a , P A , 19104, U . S . A . mcollins@gradient, cis.upenn, eduMichae
UPenn - P - 99
Designing a Task-Based Evaluation M e t h o d o l o g y for a Spoken Machine Translation S y s t e mKavita Thomas L a n g u a g e Technologies I n s t i t u t e Carnegie Mellon University 5000 Forbes Avenue P i t t s b u r g h , PA 15213, USAkavita
UPenn - P - 03
An Ontology-based Semantic Tagger for IE systemNarj` s Boufaden e Department of Computer Science Universit de Montr al e e Quebec, H3C 3J7 Canada boufaden@iro.umontreal.caAbstractIn this paper, we present a method for the semantic tagging of word
UPenn - C - 96
NL Domain Explanations in Knowledge Based MATGalia Angelova, Kalina Bontcheva 1Bulgarian Academy of Sciences, Linguistic Modelling Laboratory A c a d . G, B o n c h e v Str. 2 5 A , 1113 S o f i a , B u l g a r i a , { galja,kalina} @ b g c i c t .
UPenn - P - 03
Deverbal Compound Noun Analysis Based on Lexical Conceptual StructureTeruo Koyama Koichi Takeuchi Kyo Kageura Human and Social Information Research Division National Institute of Informatics 2-1-2 Hitotsubashi, Chiyodaku, Tokyo 101-8430, Japan koich
UPenn - D - 07
Large-Scale Named Entity Disambiguation Based on Wikipedia DataSilviu CucerzanMicrosoft Research One Microsoft Way, Redmond, WA 98052, USA silviu@microsoft.comAbstractThis paper presents a large-scale system for the recognition and semantic disa
UPenn - P - 01
A Syntax-based Statistical Translation ModelKenji Yamada and Kevin Knight Information Sciences Institute University of Southern California 4676 Admiralty Way, Suite 1001 Marina del Rey, CA 90292 kyamada,knight @isi.edu AbstractWe present a syntax-b
UPenn - C - 02
Semantics-based Representation for Multimodal Interpretation in Conversational SystemsJoyce ChaiIBM T. J. Watson Research Center 19 Skyline Drive Hawthorne, NY 10532, USA{jchai@us.ibm.com}Abstract To support context-based multimodal interpretati
UPenn - A - 92
A Simple Rule-Based Part of Speech TaggerEric Brill * D e p a r t m e n t of C o m p u t e r S c i e n c e University of Pennsylvania P h i l a d e l p h i a , P e n n s y l v a n i a 19104U.S.A.brill@unagi.cis.upenn.edu Abstract Automatic part o
UPenn - P - 05
A Hierarchical Phrase-Based Model for Statistical Machine TranslationDavid Chiang Institute for Advanced Computer Studies (UMIACS) University of Maryland, College Park, MD 20742, USA dchiang@umiacs.umd.eduAbstractWe present a statistical phrase-b
UPenn - P - 06
Investigations on Event-Based SummarizationMingli Wu Department of Computing The Hong Kong Polytechnic University Kowloon, Hong Kong csmlwu@comp.polyu.edu.hkAbstractWe investigate independent and relevant event-based extractive mutli-document su
UPenn - N - 06
Thai Grapheme-Based Speech RecognitionPaisarn Charoenpornsawat, Sanjika Hewavitharana, Tanja SchultzInteractive Systems Laboratories, School of Computer Science Carnegie Mellon University Pittsburgh, PA 15213 {paisarn, sanjika, tanja}@cs.cmu.eduA
UPenn - P - 01
An Algebra for Semantic Construction in Constraint-based GrammarsAnn Copestake Computer Laboratory University of Cambridge New Museums Site Pembroke St, Cambridge, UKaac@cl.cam.ac.ukAlex Lascarides Division of Informatics University of Edinburgh
UPenn - C - 02
Machine Translation Based on NLG from XML-DBYohei Seki Aoyama Gakuin / Department of Informatics, University The Graduate University for Advanced Studies (Sokendai) Abstract Ken'ichi Harada Department of Computing Science Keio UniversityThe purpos
UPenn - E - 06
Word Sense Induction: Triplet-Based Clustering and Automatic EvaluationStefan Bordag Natural Language Processing Department University of Leipzig Germany sbordag@informatik.uni-leipzig.deAbstractIn this paper a novel solution to automatic and uns
UPenn - P - 89
Unification-BasedSemantic InterpretationRobert C. Moore Artificial Intelligence Center SRI International Menlo Park, CA 94025 AbstractWe show how unification can be used to specify the semantic interpretation of natural-language expressions, inc
UPenn - N - 04
Feature-based Pronunciation Modeling for Speech RecognitionKaren Livescu and James Glass MIT Computer Science and Articial Intelligence Laboratory Cambridge, MA 02139, USA {klivescu, glass}@csail.mit.eduAbstractWe present an approach to pronuncia
UPenn - J - 92
Class-Based n-gram Models of Natural LanguageP e t e r F. B r o w n " P e t e r V. d e S o u z a * R o b e r t L. Mercer* IBM T. J. Watson Research Center V i n c e n t J. D e l l a Pietra* J e n i f e r C. Lai*We address the problem of predicting
UPenn - J - 95
Transformation-Based Error-Driven Learning and Natural Language Processing: A Case Study in Part-of-Speech TaggingEric Brill*The Johns Hopkins UniversityRecently, there has been a rebirth of empiricism in the field of natural language processing.