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The Mathematical Experience
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#	Item
21	Analysis of propagation along transitive roles: Formalisation of the GALEN experience with Medical Ontologies Alan Rector Department of Computer Science, University of Manchester Add to Reading List Source URL: www.cs.man.ac.uk Language: English - Date: 2002-04-15 06:47:15 Æ Description logic S Mathematical logic Logic Old English language
22	Mathematical Wrangle Official Rules The rules below broadly follow those of a “Mathematical Battle” as given in Appendix A of Mathematical Circles (Russian Experience) by Fomin, Gengkin and Itenberg. Adaptation provi Add to Reading List Source URL: sigmaa.maa.org Language: English - Date: 2012-08-20 13:00:07 Debate Public speaking Human communication Policy debate Evaluation Problem Chess problem
23	Experience with the SETL Optimizer STEFAN M. FREUDENBERGER, JACOB T. SCHWARTZ, and MICHA SHARIR New York University The structure of an existing optimizer for the very high-level, set theoretically oriented programming Add to Reading List Source URL: www.multimedialibrary.com Language: English - Date: 2014-03-05 10:31:06 Data types Compiler optimizations Compiler construction Type theory Programming language implementation SETL Static single assignment form Mathematical optimization Common subexpression elimination Software engineering Computing Programming language theory
24	Mathematical Rumble Official Rules The rules below broadly follow those of a “Mathematical Battle” as given in Appendix A of Mathematical Circles (Russian Experience) by Fomin, Gengkin and Itenberg. Adaptation provid Add to Reading List Source URL: sigmaa.maa.org Language: English - Date: 2012-08-20 13:00:02 Evaluation Problem Judge
25	Using Camlp4 for Presenting Dynamic Mathematics on the Web: DynaMoW, an OCaml language extension for the run-time generation of mathematical contents and their presentation on the web An experience report Frédéric Chyz Add to Reading List Source URL: ddmf.msr-inria.inria.fr Language: English - Date: 2011-06-30 10:10:16 Functional languages OCaml Camlp4 Caml Ocsigen Arbitrary-precision arithmetic Sage Maple Symbolic computation Software Computing Mathematical software
26	SageCRM Training and Coaching Built-in training tools help new users become old pros Using any CRM system for the first time can be very intimidating for users. It is imperative that users are comfortable with the system Add to Reading List Source URL: www.21crmsystems.com Language: English - Date: 2007-09-07 17:32:25 Customer experience management Customer relationship management Electronic commerce Usability ECRM Sage Marketing Business Mathematical software
27	It’s all about the experience Sponsorship Prospectus June 17 & 18th, 2015 Pier 27, San Francisco Add to Reading List Source URL: pages.optimizely.com Language: English - Date: 2015-03-28 14:02:31 Mathematical optimization Operations research
28	4. Boyer E L. High school: a reporr on secondary educa&ion in ,lmerica. New York: Harper & Row, [removed]Q. College: the undergraduate experience in America. New York: Harper & Row, [removed][removed]p. 6. Mgrna Xi. Add to Reading List Source URL: www.garfield.library.upenn.edu Language: English - Date: 2001-05-14 16:30:41 Achievement gap in the United States Science education Education Mathematical anxiety
29	A Longitudinal/Cross-Sectional Study of the Impact of Mathematics in Context on Student Mathematical Performance Teacher Questionnaire: Background and Experience (Working Paper #9) Mary C. Shafer, Lesley R. Wagner, and J Add to Reading List Source URL: micimpact.wceruw.org Language: English - Date: 2005-10-06 13:34:59 Questionnaire University of Wisconsin–Madison Wisconsin Science Research methods Madison metropolitan area Madison Wisconsin
30	Data Mining Misconceptions #2: How Much Data … By Tim Graettinger “How much data do I need for data mining?” In my experience, this is the most-frequently-asked of all frequently-asked questions about data mining. Add to Reading List Source URL: www.discoverycorpsinc.com Language: English - Date: 2010-11-10 21:25:19 Data analysis Model selection Data mining Overfitting Cross-validation Mathematical model Predictive analytics Statistics Machine learning Regression analysis

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