Bayesian statistics

Sparse binary polynomial hashing

Sparse binary polynomial hashing (SBPH) is a generalization of Bayesian spam filtering that can match mutating phrases as well as single words. SBPH is a way of generating a large number of features from an incoming text automatically, and then using statistics to determine the weights for each of those features in terms of their predictive values for spam/nonspam evaluation. (Wikipedia).

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How to find the zeros of a polynomial using the sum of two cubes

👉 Learn how to find the zeroes of a polynomial equation/expression involving the sum/difference of two cubes. Given a polynomial having the sum of two cubes, the polynomial can be factored as follows: a^3 + b^3 = (a + b)(a^2 - ab + b^2). Similarly, given a polynomial having the difference

From playlist Zeros of a Polynomial by Factoring

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Overview Intermediate Value Theorem - Online Tutor - Free Math Videos

👉 Learn about zeros and multiplicity. The zeroes of a polynomial expression are the values of x for which the graph of the function crosses the x-axis. They are the values of the variable for which the polynomial equals 0. The multiplicity of a zero of a polynomial expression is the number

From playlist Zeros and Multiplicity of Polynomials | Learn About

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Multiplying Polynomials - Math Tutorial

👉 Learn how to multiply polynomials. To multiply polynomials, we use the distributive property. The distributive property is essential for multiplying polynomials. The distributive property is the use of each term of one of the polynomials to multiply all the terms of the other polynomial.

From playlist How to Multiply Polynomials

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How do we multiply polynomials

👉 Learn how to multiply polynomials. To multiply polynomials, we use the distributive property. The distributive property is essential for multiplying polynomials. The distributive property is the use of each term of one of the polynomials to multiply all the terms of the other polynomial.

From playlist How to Multiply Polynomials

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Arthur Szlam: "Accelerating Sparse Coding Via Learning"

Graduate Summer School 2012: Deep Learning, Feature Learning "Accelerating Sparse Coding Via Learning" Arthur Szlam, New York University Institute for Pure and Applied Mathematics, UCLA July 17, 2012 For more information: https://www.ipam.ucla.edu/programs/summer-schools/graduate-summer

From playlist GSS2012: Deep Learning, Feature Learning

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Google Keynote: Federated Aggregation and Privacy

A Google TechTalk, presented by Dan Ramage, Brendan McMahan, & Kallista Bonawitz, 2021/11/8 ABSTRACT: 3 Google researchers talk about the state of the art in federated aggregations and privacy. About the Speakers Brendan McMahan, Google - Brendan McMahan has worked in the fields of onlin

From playlist 2021 Google Workshop on Federated Learning and Analytics

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Relative Error Tensor Low Rank Approximation by David Woodruff

Statistical Physics Methods in Machine Learning DATE:26 December 2017 to 30 December 2017 VENUE:Ramanujan Lecture Hall, ICTS, Bengaluru The theme of this Discussion Meeting is the analysis of distributed/networked algorithms in machine learning and theoretical computer science in the "th

From playlist Statistical Physics Methods in Machine Learning

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11/14/2019, Erich Kaltofen, North Carolina State University

Erich Kaltofen, North Carolina State University Title: Proof-of-work Certificates for High Complexity Computations for Linear Algebra Abstract: Computations done by high-power cloud servers such as a Google data center can yield outputs that are easy to verify, such as the factors of an

From playlist Fall 2019 Symbolic-Numeric Computing Seminar

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Easiest Way To Multiply Two Binomials Using Foil - Math Tutorial

👉 Learn how to multiply polynomials. To multiply polynomials, we use the distributive property. The distributive property is essential for multiplying polynomials. The distributive property is the use of each term of one of the polynomials to multiply all the terms of the other polynomial.

From playlist How to Multiply Polynomials

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Live CEOing Ep 309: RLE Format in Wolfram Language

Watch Stephen Wolfram and teams of developers in a live, working, language design meeting. This episode is about RLE Format in the Wolfram Language.

From playlist Behind the Scenes in Real-Life Software Design

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Yingzhou Li - Fast Algorithms for FCI excited states - IPAM at UCLA

Recorded 02 May 2022. Yingzhou Li of Duke University presents "Fast Algorithms for FCI excited states" at IPAM's Large-Scale Certified Numerical Methods in Quantum Mechanics Workshop. Abstract: Fast algorithms are proposed for the electronic structure excited-state calculation in the confi

From playlist 2022 Large-Scale Certified Numerical Methods in Quantum Mechanics

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Learn how to apply long division when you do not have a remainder

👉 Learn how to divide polynomials by binomial divisors using the long division algorithm. A binomial is an algebraic expression having two terms. Before dividing a polynomial, it is usually important to arrange the divisor in the descending order of powers of the variable(s). To divide a p

From playlist Divide Polynomials using Long Division with linear binomial divisor

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Using the Box Method to Multiply Two Binomials - Math Tutorial

👉 Learn how to multiply polynomials. To multiply polynomials, we use the distributive property. The distributive property is essential for multiplying polynomials. The distributive property is the use of each term of one of the polynomials to multiply all the terms of the other polynomial.

From playlist How to Multiply Polynomials

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Chao Yang - Practical Quantum Circuits for Block Encodings of Sparse Matrices - IPAM at UCLA

Recorded 27 January 2022. Chao Yang of Lawrence Berkeley National Laboratory presents "Practical Quantum Circuits for Block Encodings of Sparse Matrices" at IPAM's Quantum Numerical Linear Algebra Workshop. Abstract: Many standard linear algebra problems can be solved on a quantum computer

From playlist Quantum Numerical Linear Algebra - Jan. 24 - 27, 2022

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Fooling intersections of low-weight halfspaces - Rocco Servedio

Computer Science/Discrete Mathematics Seminar I Topic: Fooling intersections of low-weight halfspaces Speaker: Rocco Servedio Affiliation: Columbia University Date: October 30, 2017 For more videos, please visit http://video.ias.edu

From playlist Mathematics

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How to divide polynomials with a remainder long division

👉 Learn how to divide polynomials by binomial divisors using the long division algorithm. A binomial is an algebraic expression having two terms. Before dividing a polynomial, it is usually important to arrange the divisor in the descending order of powers of the variable(s). To divide a p

From playlist Divide Polynomials using Long Division with linear binomial divisor

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Sonia Rueda 7/7/14 Part 2

Title: Sparse Resultant Formulas for Differential Polynomials

From playlist Spring 2014

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What is the long division algorithm

👉 Learn how to divide polynomials by binomial divisors using the long division algorithm. A binomial is an algebraic expression having two terms. Before dividing a polynomial, it is usually important to arrange the divisor in the descending order of powers of the variable(s). To divide a p

From playlist Divide Polynomials using Long Division with linear binomial divisor

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How to divide a binomial polynomial into a quadratic polynomial

👉 Learn how to divide polynomials by binomial divisors using the long division algorithm. A binomial is an algebraic expression having two terms. Before dividing a polynomial, it is usually important to arrange the divisor in the descending order of powers of the variable(s). To divide a p

From playlist Divide Polynomials using Long Division with linear binomial divisor

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Nexus trimester - Yitong Yin (Nanjing University)

Rectangle inequalities for data structure lower bounds Yitong Yin (Nanjing University) February 23, 2016 Abstract: The richness lemma is a classic rectangle-based technique for asymmetric communication complexity and cell-probe lower bounds. The technique was enhanced by the Patrascu-Thoru

From playlist Nexus Trimester - 2016 - Fundamental Inequalities and Lower Bounds Theme

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