The DLV (DataLog with Disjunction, where the logical disjunction symbol V is used) system is a disjunctive logic programming system, implementing the stable model semantics under the Answer set programming paradigm. It extends the datalog language to allow the use of OR in rules. Briefly, disjunctive Datalog is a variant of Datalog where disjunctions may appear in the rule heads; advanced versions also allow for negation in the bodies, which can be handled according to a semantics for negation in disjunctive logic programming. A disjunctive Datalog rule is a clause of the form: A disjunctive Datalog constraint is a clause of the form: One of the most popular nonmonotonic logics is Reiterโs [1980] defaultlogic. This logic was developed as a knowledge representation formalism and was originally not conceived as a database query language. However, a suitable setting was defined in which default logic can be used as a query language for relational databases (Default Query Language, DQL). From a practical point of view, in the context of deductive databasesdisjunctive Datalog seems to be the more suitable extension of DATALOG~than DQL. Due to its plain syntax, DATALOGv,~ is amenable to automaticprogram analysis and optimization. These results are not only of theoretical interest; problems relevant in practice such as computing the optimal tour value in the Traveling Salesman Problem and eigenvector computations can be handled in disjunctive Datalog, but not Datalog with negation (unless the Polynomial Hierarchy collapses). Example Input: Datalog with Negation as Failure smoker(john).smoker(jack).jogger(jill).jogger(john).healthy(X) :- jogger(X), \+ smoker(X). Translation to DLV: Take Clark Completion and Clausal Form smoker(X) <- X=john.smoker(X) <- X=jack.X=john v X=jack <- smoker(X).jogger(X) <- X=jill.jogger(X) <- X=john.X=jill v X=john <- jogger(X).healthy(X) v smoker(X) <- jogger(X).jogger(X) <- healthy(X)<- healthy(X) & smoker(X). Example Run: Single Stable Model ?- healthy(X).X = jill ;No (Wikipedia).
The Two-Dimensional Discrete Fourier Transform
The two-dimensional discrete Fourier transform (DFT) is the natural extension of the one-dimensional DFT and describes two-dimensional signals like images as a weighted sum of two dimensional sinusoids. Two-dimensional sinusoids have a horizontal frequency component and a vertical frequen
From playlist Fourier
Clojure - the Reader and Evaluator (4/4)
Part of a series teaching the Clojure language. For other programming topics, visit http://codeschool.org
From playlist the Clojure language
An general explanation of the underactive thyroid.
From playlist For Patients
The Fast Fourier Transform (FFT)
Here I introduce the Fast Fourier Transform (FFT), which is how we compute the Fourier Transform on a computer. The FFT is one of the most important algorithms of all time. Book Website: http://databookuw.com Book PDF: http://databookuw.com/databook.pdf These lectures follow Chapter
From playlist Fourier
A viral film we created for Lenovo featuring futuristic technology from their R&D labs.
From playlist Lenovo: For Those Who Do.
5 Best Practices In DevOps Culture | What is DevOps? | Edureka
๐ฅ๐๐๐ฎ๐ซ๐๐ค๐ ๐๐๐ฏ๐๐ฉ๐ฌ ๐๐จ๐ฌ๐ญ ๐๐ซ๐๐๐ฎ๐๐ญ๐ ๐๐ซ๐จ๐ ๐ซ๐๐ฆ ๐ฐ๐ข๐ญ๐ก ๐๐ฎ๐ซ๐๐ฎ๐ ๐๐ง๐ข๐ฏ๐๐ซ๐ฌ๐ข๐ญ๐ฒ: https://www.edureka.co/executive-programs/purdue-devops This tutorial explains what is DevOps. It will help you understand some of its best practices in DevOps culture. This video will also provide an insight into how different
From playlist Webinars by Edureka!
Markus Aichhorn - LDA+DMFTPart II
PROGRAM: STRONGLY CORRELATED SYSTEMS: FROM MODELS TO MATERIALS DATES: Monday 06 Jan, 2014 - Friday 17 Jan, 2014 VENUE: Department of Physics, IISc Campus, Bangalore PROGRAM LINK : http://www.icts.res.in/program/MTM2014 The realistic description of materials with strong electron-electro
From playlist Strongly correlated systems: From models to materials
Timo Richarz: Basics on Affine Grassmanianns
The aim is to give an introduction to the basic theory of affine Grassmannians and affine flag varieties. We put special emphasis on the utility of dynamic methods in sense of Drinfeld [D], and the utility of non-constant group schemes. We plan to adress the following aspects: โข Affine Gra
From playlist Algebraic and Complex Geometry
8ECM Plenary Lecture: Monika Ludwig
From playlist 8ECM Plenary Lectures
Visual Document Understanding with Multi-Modal Image & Text Mining in Spark OCR 3 | Webinar
Spark NLP and Spark OCR Free Trials are available here: https://www.johnsnowlabs.com/spark-nlp-try-free/ The Transformer architecture in NLP has truly changed the way we analyze text. NLP models are great at processing digital text, but many real-word applications use documents with more
From playlist AI & NLP Webinars
JASP - Structural Equation Modeling
Lecturer: Dr. Erin M. Buchanan Missouri State University Summer 2018 Viewer request! This video gives you an overview of how to use the lavaan plug in for JASP to calculate structural equation models. You will learn the basic syntax for models and what output is provided. I recommend my
From playlist Structural Equation Modeling
Pierre Colmez: A factorisation ZBK= (0,โ) โ (0,โ) of Beilinson-Katoโs system
I will discuss recent joint work with Sarah Zerbes in which we use Euler systems and reciprocity laws for GSp(4) to study the analytic rank 0 case of the Birch--Swinnerton-Dyer conjecture for abelian surfaces. Via restriction of scalars, this also includes the BSD conjecture for analytic r
From playlist Number Theory
The Discrete Fourier Transform (DFT)
This video introduces the Discrete Fourier Transform (DFT), which is how to numerically compute the Fourier Transform on a computer. The DFT, along with its fast FFT implementation, is one of the most important algorithms of all time. Book Website: http://databookuw.com Book PDF: http
From playlist Fourier
Multivariate (ฯ,ฮ)-modules by Gergely Zรกbrรกdi
PROGRAM ELLIPTIC CURVES AND THE SPECIAL VALUES OF L-FUNCTIONS (HYBRID) ORGANIZERS: Ashay Burungale (CalTech/UT Austin, USA), Haruzo Hida (UCLA), Somnath Jha (IIT Kanpur) and Ye Tian (MCM, CAS) DATE: 08 August 2022 to 19 August 2022 VENUE: Ramanujan Lecture Hall and online The program pla
From playlist ELLIPTIC CURVES AND THE SPECIAL VALUES OF L-FUNCTIONS (2022)
More Standard Deviation and Variance
Further explanations and examples of standard deviation and variance
From playlist Unit 1: Descriptive Statistics
Using Variables in Science โ The Foundations of Statistical Analysis and Scientific Testing (1-5)
Continuing our discussion about variables, you will learn how variables are used in science. Specifically, when we do statistics, we need independent and dependent variables. Independent variables are often categorical (groups) and dependent variables are typically measured on a scale. You
From playlist WK1 Numbers and Variables - Online Statistics for the Flipped Classroom
Computing Embedded Contact Homology in the Morse-Bott Setting using Cascades - Yuan Yao
Joint IAS/Princeton University Symplectic Geometry Seminar Topic: Computing Embedded Contact Homology in the Morse-Bott Setting using Cascades Speaker: Yuan Yao Affiliation: University of California, Berkeley Date: November 28, 2022ย I will first give an overview of ECH. Then I will desc
From playlist Mathematics
Go has recently hit its 1.10 release and recently celebrated its seventh anniversary as an open source project. During these years Go has become the language of the cloud and it has been adopted by companies and projects across the world, from Google to Microsoft and Apple, and is an essen
From playlist CERN Academic Lectures
(ML 7.7.A1) Dirichlet distribution
Definition of the Dirichlet distribution, what it looks like, intuition for what the parameters control, and some statistics: mean, mode, and variance.
From playlist Machine Learning