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16:23 Flood Risk: Juliette Legrand Flood Risk: Juliette Legrand	Flood Risk: Juliette Legrand This talk has been automatically captioned. You can remove these by pressing CC on the video toolbar. Name: Juliette Legrand Talk Title: Evaluation of binary classifiers for… eva classifier function risk classifiers epsilon dependence mass axis event station formula extremes loss structure bar observation river linear dots h. From Belle Taylor 0 likes 36 plays 0 Publisher Centre for Statistics Licence Type All rights reserved Language English Date Created July 1st, 2021
03:28 Juliette Legrand EVA Talk Preview Juliette Legrand EVA Talk Preview	Juliette Legrand EVA Talk Preview This talk has captions. You can remove these by pressing CC on the video toolbar. Name: Juliette Legrand Talk Title: Evaluation of binary classifiers for extremes Abstract: Machine learning… solution theory icms eva legrand evaluation binary classifiers extremes classifier paper function risk walk term idea linear observation x. discharges river prediction power byproduct methods machine appetiser From Anna Munro 0 likes 19 plays 0 Licence Type All rights reserved Language English
24:13 Adaptive Seabed Characterization With… Adaptive Seabed Characterization With Hierarchical Bayesian Modeling of SAS Imagery to Assist Sonar ATR	Adaptive Seabed Characterization With Hierarchical Bayesian Modeling of SAS Imagery to Assist Sonar ATR UDRC Themed Meeting on Signal Processing in the Underwater Environment by Scott Brandes, BAE Systems udrc signal processing model image categories environment characterization things features process seabed types cluster batch feature samples characteristics clustering imagery inference classifiers sites From Maddy McBeath 0 likes 11 plays 0 Licence Type All rights reserved The University of Edinburgh Date Created March 30th, 2021
01:59 Pros and cons of dimensionality reduction Pros and cons of dimensionality reduction	Pros and cons of dimensionality reduction Pros and cons of dimensionality reduction iaml pca space classification bayes dimensionality dimensions lot reason harm classes goal sets algorithms class downside upside assumption independence classifier classifiers From Nigel Goddard 1 likes 2,761 plays 0 Licence Type Creative Commons - Attribution
03:43 Pros and cons of decision trees Pros and cons of decision trees	Pros and cons of decision trees Pros and cons of decision trees classification decision tree attribute philosophical terminology number yellow impossible decision theory caption complete compact boundaries settle split pretty approach iaml handle separate trees optical spectrum reason produce greedy decide decision trees algorithm thought depth continue representation problem classifier effects tree decision attributes splits lot cut blue access classifiers linear choice From Nigel Goddard 0 likes 4,852 plays 0 Licence Type Creative Commons - Attribution
04:22 Classification Cost and Utility Classification Cost and Utility	Classification Cost and Utility Classification Cost and Utility iaml evaluation cost negatives earthquake accuracy costs domain measure rate tomorrow thing positives measures probability classification metrics lots classifier classifiers actions loss From Nigel Goddard 0 likes 2,986 plays 0 Licence Type Creative Commons - Attribution
05:40 Cross-validation Cross-validation	Cross-validation Cross-validation iaml evaluation classifier error training testing validation instances fold cross decision rate estimate tree instance future portion test bayes average classifiers end From Nigel Goddard 0 likes 3,061 plays 0 Licence Type Creative Commons - Attribution
03:21 Why We Need Validation Sets Why We Need Validation Sets	Why We Need Validation Sets Why We Need Validation Sets iaml evaluation validation training decision tree classifier testing algorithm times performance trees instances knobs classifiers error process test bayes lots practice datasets From Nigel Goddard 0 likes 3,116 plays 0 Licence Type Creative Commons - Attribution
02:51 How to Control Overfitting How to Control Overfitting	How to Control Overfitting How to Control Overfitting iaml evaluation nodes trees decision tree models knobs model neighbors training amount task classifiers parameters things classifier rigidity smoothness machines vector lectures From Nigel Goddard 0 likes 3,300 plays 0 Licence Type Creative Commons - Attribution
01:27 Generalization in Machine Learning Generalization in Machine Learning	Generalization in Machine Learning Generalization in Machine Learning point predict labels number instances targets interesting decision system regression build algorithms evaluation accuracy iaml training data tomorrow outputs reason train effects percent accuracy predictor matter future values attributes classifier training classifiers neighbor trees level app model From Nigel Goddard 0 likes 3,967 plays 0 Licence Type Creative Commons - Attribution
05:49 Naive Bayes for Spam Detection Naive Bayes for Spam Detection	Naive Bayes for Spam Detection Naive Bayes for Spam Detection probability predict attribute labels number computer happen occur caption complete review presentation email independence iaml separate naive user thought chance contradictory effects classify password word password times thought thing advertising representation classifier spam word class words bayes emails minus things probabilities nonspam lots classifiers training numbers From Nigel Goddard 2 likes 3,696 plays 1 Licence Type Creative Commons - Attribution
05:32 Bayesian Classification Bayesian Classification	Bayesian Classification Bayesian Classification probability predict problematic computer mathematical terminology classification interesting percent predictions class assuming scientific method email classify function iaml digit predicting stick ontology small number classifiers compute classified probabilistic times values representation quantity pixel effects spam classes classifier words probabilities bayes x. model classifications y. From Nigel Goddard 1 likes 4,657 plays 0 Licence Type Creative Commons - Attribution
02:34 Probabilistic Classifiers - Generative vs… Probabilistic Classifiers - Generative vs Discriminative	Probabilistic Classifiers - Generative vs Discriminative Probabilistic Classifiers - Generative vs Discriminative probability probabilistic classifiers mistaken plausible computes directly generative aggression caption complete discriminative blacks decision boundary question predictions construct decision theory white scientific method iaml digit observe effects difference probabilistic class definition pacifiers things model classifier boundary decision classifiers side kind bayes clasps probabilities regression max examples y. From Nigel Goddard 1 likes 4,572 plays 0 Licence Type Creative Commons - Attribution
02:51 Generative vs. Discriminative Learning Generative vs. Discriminative Learning	Generative vs. Discriminative Learning Generative vs. Discriminative Learning iaml data model boundary positives negatives points approaches classification approach models probability kind distribution characterization classifiers algorithms tasks examples training lots decisions From Nigel Goddard 2 likes 3,074 plays 0 Licence Type Creative Commons - Attribution
03:17 Generative vs Discriminative Generative vs Discriminative	Generative vs Discriminative Generative vs Discriminative iaml logistic regression probability input bayes output covariance linear sigma variable weights classifier sigmoid classifiers approach model cane form values bernoulli component priors From Nigel Goddard 0 likes 3,078 plays 0 Licence Type Creative Commons - Attribution

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