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Colloquium_2020-10-27_Nathalie_Japkowicz_Edited duration 1 hour 4 minutes Colloquium_2020-10-27_Nathalie_Japkowicz_Edited Colloquium_2020-10-27_Nathalie_Japkowicz_Edited	Colloquium_2020-10-27_Nathalie_Japkowicz_Edited Title: Harnessing Dataset Complexity in Classification Tasks Speaker: Nathalie Japkowicz ,Department of Computer Science, American University Date: October 27, 2020Abstract: The purpose of this… multi class simple divide unsupervised learning decision tree main knowledge multiclass classification hamming distance super ability japanese rock music groups coding matrix generate data mathematical logic principle component linear discrimination subclass mix networks small class long time intrusion detection multi modality isolation forest class imbalance problem class imbalance vowels versus consonants mathematical optimization error rates coding matrices positive class neural network feature selection honeywell main aspects fake data good question 3rd study breast cancer conquer strategy artificial intelligence selection methods binary classification statistical outliers dataset complexity indicator function class classification occupational safety and health decision analysis 1st step metric geometry learning methods classification problem class justification emerging technologies error correcting 2nd study convex hull multi model pseudo classes statistical classification 1st study supplies mix problem fitness function binary problem class overlap ability criterion conquer principle machine learning data set cluster updating data driven multi-modality main complexity supply store red class classification algorithms class problem classification imbalance domain distance thing clusters learning method study things methods classifier classes problems domains feature classifiers bit From Richard Ressler 16 plays 0
Colloquium_2020-09-29_Soutrik_Mandal_Edited duration 45 minutes 36 seconds Colloquium_2020-09-29_Soutrik_Mandal_Edited Colloquium_2020-09-29_Soutrik_Mandal_Edited	Colloquium_2020-09-29_Soutrik_Mandal_Edited Title: Incorporating survival data to case-control studies with incident and prevalent cases Speaker: Soutrik Mandal, Division of Cancer Epidemiology and Genetics (National Cancer Institute \|… family prevalence intelligence odds-ratio estimates rtt cross-section concepts in the philosophy of mathematics mathematical modeling theories metaphysics subject metaphysics of mind theory of probability distributions inductive reasoning exposure distribution introduction vice presidents philosophy of logic survial bias interest prevalent cases rationalism concepts in ancient greek metaphysics breast cancer breast cancer diagnoses prevalence cases case-control studies caption complete retrospective sound bite estimate sociological terminology covariance metaphilosophy epidemiology emergence defunct software companies president mathematical optimization ontology likelihood association philosophical theories joint distribution board incident abstraction skills concepts in ancient greek philosophy of mind study backwards time analysis simulation thought experience diagnosis concepts in the philosophy of mind philosophical concepts incident cases statistical deviation and dispersion cases survival distribution incident exposure model step estimates method control log bias breast beta disease cancer studies From Richard Ressler 13 plays 0
Colloquium_2020-09-22_Michael_Baron_Edited duration 1 hour 14 minutes Colloquium_2020-09-22_Michael_Baron_Edited Colloquium_2020-09-22_Michael_Baron_Edited	Colloquium_2020-09-22_Michael_Baron_Edited Title: Statistical analysis of epidemic counts data: modeling, detection of outbreaks, and recovery of missing data Speaker: Michael Baron Abstract: Official counts from the seasonal flu, 2009 H1N1… differential equations formal sciences stopping rule threshold bayesian statistics control theory change point analysis scripting languages population size total number weighted moving average infectious diseases mathematical and quantitative methods (economics) mathematical finance expected stopping expected number sequential analysis statistical inference research methods mortality rate actuarial science august 22nd rate swine flu adaptive threshold theory of probability distributions susceptible people false alarm sum statistical charts and diagrams basic reproduction number confirmed cases demography stochastic processes expected time recoveries recovery rate epidemiology binomial distribution medical tests current population size distribution change epidemics computational neuroscience exponentially weighted moving time series technical analysis conjugate prior distributions simple proportion current number neural networks probability point infected person epidemic sequential methods sir model actual data influenza epidemic question probability distributions medical statistics expected increment artificial intelligence expected behavior random walk infection joint distribution cases casualties population theories random component christian terminology infected people pandemics process stopping time moving average positive test caption complete design of experiments information officially confirmed lose people parameter bayesian algorithms sir neural net feedback loop population ecology data day moving average change point alarm covid-19 person stochastic modeling infection rate model officially reported temporal rates flu epidemic From Richard Ressler 26 plays 0
The American University Experience : Student Panel duration 25 minutes 10 seconds The American University Experience : Student Panel The American University Experience : Student Panel	The American University Experience : Student Panel Zoom Recording ID: 96380029023 UUID: rPh7b+I0TpmgZBSl0577Ig== Meeting Time: 2020-11-08T20:44:50Z higher education questions consciousness social scene process neuropsychological assessment cognitive science making friends professors 100 percent semester double majoring college rooms learning washington post campus educational facilities magazines published in washington double major political science major human communication student things question opportunities majority types of university or college grad student lot intelligence easy process international studies caption complete universities and colleges english-language television programming traditional campus amazing connections amazing opportunities great thing financial aid students d.c. current student english-language journals complex problems political science english-language television programs bit journalism program class greek life internship opportunities 1st question educational psychology study abroad educational stages study abroad programs study developmental psychology journalism beginners and newcomers experience youth classes american university international studies major internet culture legal terminology studies classroom From Kayla Rohr 13 plays 0
Colloquium_2020-10-20: Machine Learning Improves… duration 58 minutes 34 seconds Colloquium_2020-10-20: Machine Learning Improves… Colloquium_2020-10-20: Machine Learning Improves Estimates of Environmental Exposures-edited	Colloquium_2020-10-20: Machine Learning Improves Estimates of Environmental Exposures-edited Speaker: Yuri Levin-Schwartz of the Icahn School of Medicine at Mount Sinai Tuesday October 20, 2020 2:30 PM Abstract: In environmental studies, the true level of exposure to environmental… occupational exposure lowest level computer data formal sciences gold percent confidence intervals iq multimedia biomarker blood measure urine metals biomarker major cities chemical elements strong evidence learning measurement endocrine disruptors transition metals verbal i.q. biological samples reasoning research methods post-transition metals information lead blood pressure native element minerals multimedia monetary policy test case exposure biomarker environment human health lead exposure biology and pharmacology of chemical elements verbal intelligence estimate weights health environmental health medical humanities physical chemistry sort media animal model caption complete occupational safety and health goods (economics) public health measures effect estimation theory finite frame theory accurate estimate effects measure exposure learning techniques iarc group 1 carcinogens toxicology data exposure reasonable assumption supervised learning total i.q. toxins sanitation level linear algebra body fluids chemicals manganese machine learning data set dietary minerals blood urine good measure preferred biomarker things blood lead statistical inference good estimate outcome environmental exposure biomarkers From Richard Ressler 161 plays 0