A deductive classifier is a type of artificial intelligence inference engine. It takes as input a set of declarations in a frame language about a domain such as medical research or molecular biology. For example, the names of classes, sub-classes, properties, and restrictions on allowable values. The classifier determines if the various declarations are logically consistent and if not will highlight the specific inconsistent declarations and the inconsistencies among them. If the declarations are consistent the classifier can then assert additional information based on the input. For example, it can add information about existing classes, create additional classes, etc. This differs from traditional inference engines that trigger off of IF-THEN conditions in rules. Classifiers are also similar to theorem provers in that they take as input and produce output via First Order Logic. Classifiers originated with KL-ONE Frame languages. They are increasingly significant now that they form a part in the enabling technology of the Semantic Web. Modern classifiers leverage the Web Ontology Language. The models they analyze and generate are called ontologies. (Wikipedia).
Training Your Logistic Classifier
This video is part of the Udacity course "Deep Learning". Watch the full course at https://www.udacity.com/course/ud730
From playlist Deep Learning | Udacity
Bayes Classifiers; Bayes rule; discrete and Gaussian class-conditional distributions
From playlist cs273a
This video is part of the Udacity course "Deep Learning". Watch the full course at https://www.udacity.com/course/ud730
From playlist Deep Learning | Udacity
Overview of logistic regression, a statistical classification technique.
From playlist Machine Learning
Topos seminar Lecture 15: Abstraction and adjunction (Part 1)
I begin by explaining in a simple example the connection between formal reasoning involving distinct concepts, and adjunctions between classifying topoi. This leads to a discussion of models in topoi (focused on the particular example of the theory of abelian groups) then to the syntactic
From playlist Topos theory seminar
Machine Learning Interview Questions And Answers | Data Science Interview Questions | Simplilearn
🔥 Enroll for FREE Machine Learning Course & Get your Completion Certificate: https://www.simplilearn.com/learn-machine-learning-basics-skillup?utm_campaign=MachineLearning&utm_medium=Description&utm_source=youtube This Machine Learning Interview Questions And Answers video will help you
From playlist Machine Learning with Python | Complete Machine Learning Tutorial | Simplilearn [2022 Updated]
Federal Tax Basics $32200 Gross Income
In this video, we look at a basic approximation of federal taxes. Our assumptions are that we are using the standard deduction and have a gross income of $32,000
From playlist Personal Finance
Laurent Lafforgue - 3/4 Classifying toposes of geometric theories
Course at the school and conference “Toposes online” (24-30 June 2021): https://aroundtoposes.com/toposesonline/ Slides: https://aroundtoposes.com/wp-content/uploads/2021/07/LafforgueSlidesToposesOnline.pdf The purpose of these lectures will be to present the theory of classifying topose
From playlist Toposes online
WiDS Livermore 2022 | Beginner Workshop Track
On March 7, 2022, LLNL hosted its fifth annual WiDS Livermore event in conjunction with the worldwide Women in Data Science (WiDS) conference. Learn more about WiDS Livermore at https://data-science.llnl.gov/wids. Gale M. Lucas, a research assistant professor at the University of Southern
From playlist WiDS Livermore
Ordine aritmetico e caos logico: congetture in teoria dei modelli
I numeri interi sono uno degli oggetti matematici dalla struttura più semplice e chiara, ma... lo sono per davvero? Negli occhi di un logico, essi potrebbero al contrario scoprirsi portatori di un caos insostenibile e inverecondo. Simone Ramello (Universität Münster) ci mostrerà come la te
From playlist Mathematics Münster News
Digging into Data: Supervised Classification with Decision Trees
Our second classification lecture, where we cover non-linear decision trees.
From playlist Digging into Data
Trump's Alleged Crimes at NAR-A-LAGO
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From playlist Law Review News!
From playlist Naive Bayes Classifier
⭐️ Get my videos early & ad free (plus my exclusives!) only on Nebula. Save $10 per year! https://legaleagle.link/getnebula ⭐️ The president’s taxes are bad. The first 1000 people to use the link will get a free trial of Skillshare Premium Membership: https://legaleagle.link/skillshare
From playlist Law Review News!
Category theory for JavaScript programmers #19: some formality around categories
http://jscategory.wordpress.com/source-code/
From playlist Category theory for JavaScript programmers
Irene Di Palma - A Machine Learning Application in Multi-Messenger Astrophysics - IPAM at UCLA
Recorded 7 October 2021. Irene Di Palma of the Sapienza University of Rome presents "A Machine Learning Application in Multi-Messenger Astrophysics" at IPAM's Workshop I: Computational Challenges in Multi-Messenger Astrophysics. Abstract: The detection of gravitational waves from core-coll
From playlist Workshop: Computational Challenges in Multi-Messenger Astrophysics