PPT-Analytical Similarity Assessment: Practical Challenges and Statistical Perspectives

Author : alida-meadow | Published Date : 2018-10-13

Richard Montes PhD Hospira a Pfizer company Biosimilars Pharmaceutical Sciences Statistics Presentation Outline Background on demonstration of biosimilarity Tier

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Analytical Similarity Assessment: Practical Challenges and Statistical Perspectives: Transcript

Richard Montes PhD Hospira a Pfizer company Biosimilars Pharmaceutical Sciences Statistics Presentation Outline Background on demonstration of biosimilarity Tier 1 Equivalence Testing. Corpora and Statistical Methods. Lecture 6. Semantic similarity. Part 1. Synonymy. Different phonological. /orthographic. words. highly related meanings. :. sofa / couch. boy / lad. Traditional definition:. -. based Clustering. Mohammad. . Rezaei. , Pasi Fränti. rezaei@cs.uef.fi. Speech. and . Image. . Processing. . Unit. University of Eastern Finland. . August 2014. Keyword-Based Clustering. An object such as a text document, website, movie and service can be described by a set of keywords. from . GOMMA. Michael . Hartung. , Lars Kolb, . Anika. . Groß. , Erhard Rahm. Database . Research Group. University of . Leipzig. 9th . Intl. . . Conf. . on Data Integration. in . the. Life . Sciences. WordNet. Lubomir. . Stanchev. Example . Similarity Graph. Dog. Cat. 0.3. 0.3. Animal. 0.8. 0.2. 0.8. 0.2. Applications. If we type . automobile. . in our favorite Internet search engine, for example Google or Bing, then all top results will contain the word . a Multi-Layered Indexing Approach. Yongjiang Liang, . Peixiang Zhao. CS @ FSU. zhao@cs.fsu.edu. Outline. Introduction. State-of-the-art solutions. ML-Index & similarity search. Experiments. Conclusion. CSE, HKUST. March 20. Recap. String declaration. str1=“Hong”. str2=“Kong”. String Operators. strr. =str1+str2. “H” in . strr. String Slicing. strr. [. i. ]. strr. [:. i. ]. strr. [. i. :]. CS159 . Fall . 2014. Admin. Assignment 4. Quiz #2 Thursday. Same . rules as quiz #1. First 30 minutes of class. Open book and . notes. Assignment 5 out on Thursday. Quiz #2. Topics. Linguistics 101. Parsing. Intro. Introductions. Value. Perspectives. Challenges. Discussion. Lead Into . Gold. : . The Alchemy of Open Data. . . August 2, 2010. TASSCC Annual Conference. Agenda. Janet Gilmore. 1. 2. Janet Gilmore. Bamshad Mobasher. DePaul University. Distance or Similarity Measures. Many data mining and analytics tasks involve the comparison of objects and determining in terms of their similarities (or dissimilarities). Presenter. : Monica Farkash. Bryan Hickerson. . mfarkash@us.ibm.com. . bhickers@us.ibm.com. . 2. Outline. The challenge: Providing a subset from a regression test suite. Our new Jaccard/K-means (JK) approach . Quiz. Which pair of words exhibits the greatest similarity?. 1. Deer-elk. 2. Deer-horse. 3. Deer-mouse. 4. Deer-roof. Quiz Answer. Which pair of words exhibits the greatest similarity?. 1. Deer-elk. 2. Deer-horse. Sept 16, 2015. W. Heath Rushing, . Adsurgo. LLC. Andrew . Karl, . Adsurgo. LLC. Richard Burdick, Elion Labs. Outline. 2. Introduction. Current. FDA Thinking/Approach. Demonstration:. . Statistical Equivalence using Sample Size and Variance Adjustment Method. Jessica Chackoria. 1. , Brooke Nyberg. 1. , Melissa Vazquez. 1 . Suzanne Bell. 2. , . Alla. Vinokhodova. 3. , Vadim Gushin. 3. , Leslie DeChurch. 4 . , Noshir Contractor. 4 . 1. DePaul University, . Sketching, Locality Sensitive Hashing. SIMILARITY AND DISTANCE. Thanks to:. Tan, Steinbach, . and Kumar, “Introduction to Data Mining”. Rajaraman. . and . Ullman, “Mining Massive Datasets”. Similarity and Distance.

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