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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_2020-09-22_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
Colloquium_2020-10-13: Hitting objects with… duration 58 minutes 5 seconds Colloquium_2020-10-13: Hitting objects with… Colloquium_2020-10-13: Hitting objects with random walks	Colloquium_2020-10-13: Hitting objects with random walks Speaker: Dr. John P. Nolan Abstract: Random walks are a powerful tool for studying the structure of complicated objects. This talk describes the key ideas for classical Brownian motion and its… colloidal chemistry probability point statistical mechanics spheres chemical compounds 2 (number) mathematicians mathematical logic solutions hyperbolic space filename extensions dimensional space lévy processes surfaces capacity thing fractals simple rejection homogeneous spaces start location random variable expected number field theory special mention wiener process random walks vowel letters caption complete random walk stable process elementary shapes variants of random walks discrete approximation brownian motion elementary geometry continuous time random robert brown (botanist) independent increment problem topology randomness geometry characteristic dimension complicated shape algorithms distribution probability theory theoretical computer science alpha motion ball lot space object locations idea function dimensions region process problems things From Richard Ressler 24 plays 0