Formal languages | Computational learning theory
Language identification in the limit is a formal model for inductive inference of formal languages, mainly by computers (see machine learning and induction of regular languages). It was introduced by E. Mark Gold in a technical report and a journal article with the same title. In this model, a teacher provides to a learner some presentation (i.e. a sequence of strings) of some formal language. The learning is seen as an infinite process. Each time the learner reads an element of the presentation, it should provide a representation (e.g. a formal grammar) for the language. Gold defines that a learner can identify in the limit a class of languages if, given any presentation of any language in the class, the learner will produce only a finite number of wrong representations, and then stick with the correct representation. However, the learner need not be able to announce its correctness; and the teacher might present a counterexample to any representation arbitrarily long after. Gold defined two types of presentations: * Text (positive information): an enumeration of all strings the language consists of. * Complete presentation (positive and negative information): an enumeration of all possible strings, each with a label indicating if the string belongs to the language or not. (Wikipedia).
π Learn about the limit of a function. The limit of a function as the input variable of the function tends to a number/value is the number/value which the function approaches at that time. The limit of a function is said to exist if the value which the function approaches as x (or the inde
From playlist Learn about Limits
10 ESSENTIAL English Expressions
Today we've got 10 useful English expressions and idioms that you can use every day. If you're learning English you need to learn some expressions and idioms. But don't try and learn every expression there is. Even native speakers don't know them all of course not. Instead build up a tool
From playlist British English idioms and the origin of words and expressions
Use limit laws and special trig limits to evaluate
π Learn how to evaluate the limit of a function involving trigonometric expressions. The limit of a function as the input variable of the function tends to a number/value is the number/value which the function approaches at that time. The limit of a function is usually evaluated by direct
From playlist Evaluate Limits with Trig
[Introduction to Linguistics] Consonants: Place of Articulation, Manner of Articulation, Voicing
Today we look at the production and transcription of consonants in English with respect to place, manner, and voicing. There is a lot in this video, and there is no way you can grasp it all in one go. Please take the time to study the IPA chart, and do your own practice transcriptions. Fo
From playlist Introduction to Linguistics
This is the first part of a series of videos on the nature of language. The aim of the series is to convey research findings to the general public. The next episodes will be made available soon. Illustrated by Lydia Alexkartadjaja (https://www.instagram.com/lydialexdesign/)
From playlist What is Language?
Evaluate the limit using special trigonometric limits and limit laws
π Learn how to evaluate the limit of a function involving trigonometric expressions. The limit of a function as the input variable of the function tends to a number/value is the number/value which the function approaches at that time. The limit of a function is usually evaluated by direct
From playlist Evaluate Limits with Trig
Accurate De-Identification of Structured & Unstructured Medical Data at Scale | Webinar
Get your Free Spark NLP and Spark OCR Free Trial: https://www.johnsnowlabs.com/spark-nlp-try-free/ Watch all webinars: https://events.johnsnowlabs.com/webinars Recent advances in deep learning enable automated de-identification of medical data to approach the accuracy achievable via manu
From playlist AI & NLP Webinars
[Webinar] Accurate De-Identification of Structured & Unstructured Medical Data at Scale
See more at www.johnsnowlabs.com Recent advances in deep learning enable automated de-identification of medical data to approach the accuracy achievable via manual effort. This includes accurate detection & obfuscation of patient names, doctor names, locations, organizations, and dates fr
From playlist AI & NLP Webinars
Using Spark NLP to De-Identify Doctor Notes in the German Language
Presented by: Maciej Piotrowski - Director, IT Architecture, Real World Solutions at IQVIA & Jiri Dobes - Head of Solutions at John Snow Labs The ability to extract clinical information at large scale and in real time from unstructured clinical notes is becoming a mission critical capabil
From playlist Healthcare NLP Summit 2022
State-Of-The-Art Medical Data De-identification and Obfuscation Webinar
The process of de-identifying protected health information (PHI) from unstructured medical notes is often essential when working with patient-level documents, such as physician notes. Using current state-of-the-art techniques, automated de-identification of both structured and free-text me
From playlist AI & NLP Webinars
Ex: Limit of a Function of Two Variables (Not Origin - DNE)
This video explains how to find a limit of a function of two variables. Site: http://mathispower4u.com
From playlist Limits of Functions of Two Variables
Wolfram Student Podcast Episode 9: Predicted Native Language of a Writer Based on a Sentence
In the final episode of Season 1 of the Wolfram Student Podcast, we feature Muskan Majahan and her project in determining a writerβs native language based on a sentence. Join us as we discuss key features of natural language processing and how writing style can be analyzed to predict someo
From playlist Wolfram Student Podcast
APL110 - Forensic Linguistics - An Overview
In this overview of Forensic linguistics, Prof. Handke discusses the central goals of this new and growing disipline, as well as the central principles of voice identification and authorship profiling, including a typology of forensic texts.
From playlist Applied Linguistics
Jean-Christophe Loiseau: "Chaotic convection and Lorenz-like dynamics/A brief overview of SINDy"
Machine Learning for Physics and the Physics of Learning 2019 Workshop III: Validation and Guarantees in Learning Physical Models: from Patterns to Governing Equations to Laws of Nature "Chaotic convection and Lorenz-like dynamics/A brief overview of SINDy" Jean-Christophe Loiseau - Γcole
From playlist Machine Learning for Physics and the Physics of Learning 2019
Speaker: Martin Haase How to know what a text in an unknown language is about? It is sometimes necessary to know what a text is about, even if it is written in a language you don't know. This can be quite problematic, if you do not even know in what language it is written. This talk wil
From playlist 24C3: Full steam ahead
Using trig limits to evaluate the limit
π Learn how to evaluate the limit of a function involving trigonometric expressions. The limit of a function as the input variable of the function tends to a number/value is the number/value which the function approaches at that time. The limit of a function is usually evaluated by direct
From playlist Evaluate Limits with Trig
Determine the left and right hand limits using infinity of a function
π Learn how to evaluate the limit of a function involving rational expressions. The limit of a function as the input variable of the function tends to a number/value is the number/value which the function approaches at that time. The limit of a function is usually evaluated by direct subst
From playlist Evaluate the Limit (PC)
Determine the left and right hand limits using infinity of a function
π Learn how to evaluate the limit of a function involving rational expressions. The limit of a function as the input variable of the function tends to a number/value is the number/value which the function approaches at that time. The limit of a function is usually evaluated by direct subst
From playlist Evaluate the Limit (PC)
Stanford Fireside Talks: Robustness in Machine Learning I Robust Machine Learning
For more information about Stanford's Artificial Intelligence professional and graduate programs visit: https://stanford.io/ai Tatsunori Hashimoto Assistant Professor, Computer Science Department at Stanford university Associate Professor Percy Liang Associate Professor of Computer Scie
From playlist Stanford CS221: Artificial Intelligence: Principles and Techniques | Autumn 2021