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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_2020-10-20: 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

Colloquium_2020-10-27_Nathalie_Japkowicz_Edited

duration 1 hour 4 minutes

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

linear discrimination

class imbalance problem

class imbalance

vowels versus consonants

mathematical optimization

artificial intelligence

selection methods

binary classification

occupational safety and health

classification problem

class justification

emerging technologies

statistical classification

classification algorithms

From Richard Ressler 16 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

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

percent confidence intervals