Grammar frameworks | Probabilistic models
A stochastic grammar (statistical grammar) is a grammar framework with a probabilistic notion of grammaticality: * Stochastic context-free grammar * Statistical parsing * Data-oriented parsing * Hidden Markov model * Estimation theory The grammar is realized as a language model. Allowed sentences are stored in a database together with the frequency how common a sentence is. Statistical natural language processing uses stochastic, probabilistic and statistical methods, especially to resolve difficulties that arise because longer sentences are highly ambiguous when processed with realistic grammars, yielding thousands or millions of possible analyses. Methods for disambiguation often involve the use of corpora and Markov models. "A probabilistic model consists of a non-probabilistic model plus some numerical quantities; it is not true that probabilistic models are inherently simpler or less structural than non-probabilistic models." (Wikipedia).
Basic stochastic simulation b: Stochastic simulation algorithm
(C) 2012-2013 David Liao (lookatphysics.com) CC-BY-SA Specify system Determine duration until next event Exponentially distributed waiting times Determine what kind of reaction next event will be For more information, please search the internet for "stochastic simulation algorithm" or "kin
From playlist Probability, statistics, and stochastic processes
There is a great deal of confusion about the term 'grammar'. Most people associate with it a book written about a language. In fact, there are various manifestations of this traditional term: presecriptive, descriptive and reference grammar. In theoretical linguistics, grammars are theory
From playlist VLC107 - Syntax: Part II
Prob & Stats - Markov Chains (8 of 38) What is a Stochastic Matrix?
Visit http://ilectureonline.com for more math and science lectures! In this video I will explain what is a stochastic matrix. Next video in the Markov Chains series: http://youtu.be/YMUwWV1IGdk
From playlist iLecturesOnline: Probability & Stats 3: Markov Chains & Stochastic Processes
Introduction to the paper https://arxiv.org/abs/2002.06707
From playlist Research
Alliteration, Assonance, and Onomatopoeia | Style | Grammar
This video will teach you all about the different ways you can use the sound of words for effect. Alliteration is when you use a bunch of similar consonants in a row; assonance is when you use a bunch of similar vowel sounds in a row; onomatopoeia is basically sound effects. You'll see.
From playlist Grammar
Unit 3 Debate: Tomer Ullman and Laura Schulz
MIT RES.9-003 Brains, Minds and Machines Summer Course, Summer 2015 View the complete course: https://ocw.mit.edu/RES-9-003SU15 Instructor: Tomer Ullman, Laura Schulz Speakers debate what makes a good theory of the world, the potential role of stochastic search in theory formation, goal-o
From playlist MIT RES.9-003 Brains, Minds and Machines Summer Course, Summer 2015
Prob & Stats - Markov Chains (9 of 38) What is a Regular Matrix?
Visit http://ilectureonline.com for more math and science lectures! In this video I will explain what is a regular matrix. Next video in the Markov Chains series: http://youtu.be/loBUEME5chQ
From playlist iLecturesOnline: Probability & Stats 3: Markov Chains & Stochastic Processes
Voice-Grammar-Compute-Communicate: Take Control of Your Health Data
To learn more about Wolfram Technology Conference, please visit: https://www.wolfram.com/events/technology-conference/ Speaker: Mitch Stonehocker Wolfram developers and colleagues discussed the latest in innovative technologies for cloud computing, interactive deployment, mobile devices,
From playlist Wolfram Technology Conference 2018
Multi-Language Data Acquisition Conversational Agent
Last year, at WTC-2020, I gave a presentation titled "Multi-language Data Wrangling Conversational Agent". A natural extension of that work is making a Conversational Agent (CA) for Data Acquisition Workflows (DAWs). A closely related problem domain is the acquisition of Machine Learning (
From playlist Wolfram Technology Conference 2021
Jana Cslovjecsek: Efficient algorithms for multistage stochastic integer programming using proximity
We consider the problem of solving integer programs of the form min {c^T x : Ax = b; x geq 0}, where A is a multistage stochastic matrix. We give an algorithm that solves this problem in fixed-parameter time f(d; ||A||_infty) n log^O(2d) n, where f is a computable function, d is the treed
From playlist Workshop: Parametrized complexity and discrete optimization
Set Theory (Part 2): ZFC Axioms
Please feel free to leave comments/questions on the video and practice problems below! In this video, I introduce some common axioms in set theory using the Zermelo-Fraenkel w/ choice (ZFC) system. Five out of nine ZFC axioms are covered and the remaining four will be introduced in their
From playlist Set Theory by Mathoma
Martin Boundaries of Random Walks on Relatively Hyperbolic Groups by Debanjan Nandi
PROGRAM : ERGODIC THEORY AND DYNAMICAL SYSTEMS (HYBRID) ORGANIZERS : C. S. Aravinda (TIFR-CAM, Bengaluru), Anish Ghosh (TIFR, Mumbai) and Riddhi Shah (JNU, New Delhi) DATE : 05 December 2022 to 16 December 2022 VENUE : Ramanujan Lecture Hall and Online The programme will have an emphasis
From playlist Ergodic Theory and Dynamical Systems 2022
The mathematics of natural algorithms - Bernard Chazelle
Computer Science/Discrete Mathematics Seminar Topic: The mathematics of natural algorithms Speaker: Bernard Chazelle Affiliation:Princeton University Date: November 14, 2016 For more video, visit http://video.ias.edu
From playlist Mathematics
Symbolic Regression and Program Induction: Lars Buesing
Machine Learning for the Working Mathematician: Week Fourteen 2 June 2022 Lars Buesing, Searching for Formulas and Algorithms: Symbolic Regression and Program Induction Abstract: In spite of their enormous success as black box function approximators in many fields such as computer vision
From playlist Machine Learning for the Working Mathematician
Universal Properties of Transition Path Times Statistics (Remote talk) by Enrico Carlon
PROGRAM : FLUCTUATIONS IN NONEQUILIBRIUM SYSTEMS: THEORY AND APPLICATIONS ORGANIZERS : Urna Basu and Anupam Kundu DATE : 09 March 2020 to 19 March 2020 VENUE : Madhava Lecture Hall, ICTS, Bangalore THIS PROGRAM HAS BEEN MODIFIED ONLY FOR LOCAL (BANGALORE) PARTICIPANTS DUE TO COVID-19 RI
From playlist Fluctuations in Nonequilibrium Systems: Theory and Applications
Prepositions in Italian: Preposizioni Articolate
What's a preposition? It's a word that describes a relationship between a noun and some other element in the sentence. In English, these are words like to, at, of, or in. How are they used in Italian? Furthermore, how do these combine with articles to become preposizioni articolate? Let's
From playlist Italian
Progress in Computer Algebra-Based Biological Modeling Languages
Collaborative projects have resulted in several Mathematica-implemented modeling languages aimed at general-purpose biological modeling, which is a useful and topical but indefinitely expandable goal. We update previous work on reaction arrow translation (Cellerator) and on 'dynamical gram
From playlist Wolfram Technology Conference 2013
AQC 2016 - Coupled Quantum Fluctuations and Quantum Annealing
A Google TechTalk, June 29, 2016, presented by Layla Hormozi (MIT) ABSTRACT: We study the relative effectiveness of stoquastic and non-stoquastic Hamiltonians consisting of coupled quantum fluctuations compared to Hamiltonians with single spin flips in the performance of quantum annealing.
From playlist Adiabatic Quantum Computing Conference 2016
Joss Whedon, balls and stochastic processes - TT2013 Week 1
In which past (pre-ball) Simon cheats, and future (post-ball) Simon is incredibly grateful for him doing so. I talk about handing in my masters project, the work that I've been doing in theoretical and atmospheric physics, and discuss the Oxford Union. Some links: The Oxford Union: http:/
From playlist Oxvlogs
CONCRETE NOUNS and ABSTRACT NOUNS - ENGLISH GRAMMAR
Concrete nouns are nouns that can be heard, tasted, smelled, touched, or seen. Abstract nouns are nouns that can be believed, felt emotionally, understood, learned, or known. LIKE AND SHARE THE VIDEO IF IT HELPED! Support me on Patreon: http://bit.ly/2EUdAl3 Visit our website: http://
From playlist English Grammar