'Linear combination' diaporamas de présentation

Radial Basis Function Network and Support Vector Machine

Radial Basis Function Network and Support Vector Machine. Team 1: J-X Huang, J-H Kim, K-S Cho 2003. 10. 29. Outline. Radial Basis Function Network Introduction Architecture Learning Strategies MLP vs RBFN Support Vector Machine Introduction VC Dimension, Structural Risk Minimization

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Eigenimage Methods for Face Recognition

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Lecture 4

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Born-Oppenheimer Approximation ? T N =0, V NN =ct

Hartree-Fock equations. Born-Oppenheimer Approximation ? T N =0, V NN =ct. - Core integral (one-electron integral. - Coulombian integral (two-electron integral). - Exchange integral (two-electron integral).

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Techniques for studying correlation and covariance structure

Techniques for studying correlation and covariance structure. Principal Components Analysis (PCA) Factor Analysis. Principal Component Analysis. Let . have a p -variate Normal distribution . with mean vector . Definition:. The linear combination.

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Properties of the Integers: Mathematical Induction

Properties of the Integers: Mathematical Induction. Chapter 4. 1. Mathematical Induction 2. Harmonic, Fibonacci, Lucas Numbers 3. Prime Numbers. Chapter 4 Properties of the Integers: Mathematical Induction . 4.1 The Well-Ordering Principle: Mathematical Induction.

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Multiple Regression Analysis

Multiple Regression Analysis. y = b 0 + b 1 x 1 + b 2 x 2 + . . . b k x k + u 2. Inference. Assumptions of the Classical Linear Model (CLM). So far, we know that given the Gauss-Markov assumptions, OLS is BLUE,

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Function Approximation

Function Approximation. The Problem we are trying to approximate a function f(x) by another function g n (x) which consists of a sum over N orthogonal functions F (x) weighted by some coefficients a n . The Problem.

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Independent Components Analysis

Independent Components Analysis. What is ICA?.

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Sparse and Redundant Representation Modeling for Image Processing

*. * Joint work with Michal Aharon Guillermo Sapiro Julien Mairal Matan Protter . Sparse and Redundant Representation Modeling for Image Processing. Michael Elad The Computer Science Department

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Bayesian belief networks 2. PCA and ICA

Bayesian belief networks 2. PCA and ICA. Peter Andras andrasp@ieee.org. Principal component analysis PCA 1. Idea: the high dimensional data might be situated on a lower dimensional surface. PCA 2. How to find the lower dimensional surface ?. We look for linear surfaces, i.e., hyperplanes.

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The Non-Uniform Fast Fourier Transform

The Non-Uniform Fast Fourier Transform. Group Meeting Friday, October 3 rd , 2008. Overview. Intuitive Descriptions Formulation of Equations for NUDFT NUFFT Development Inverse Techniques Generalizations Basic Examples Applications to Research. NUDFT Description.

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Basic Quantum Chemistry: how to represent molecular electronic states

Basic Quantum Chemistry: how to represent molecular electronic states. Jimena D. Gorfinkiel Department of Physics and Astronomy University College London. Summary.

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NetQuest: A Flexible Framework for Internet Measurement

NetQuest: A Flexible Framework for Internet Measurement. Lili Qiu Joint work with Mike Dahlin, Harrick Vin, and Yin Zhang UT Austin. Motivation. Server. Sprint. Server. C&W. AOL. AT&T. UUNet. SBC. Qwest. Earthlink. Server. Server. Why is it so slow?. Motivation (Cont.). AOL.

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knot intervals and T-splines Thomas W. Sederberg

knot intervals and T-splines Thomas W. Sederberg. Minho Kim. knot intervals. knot intervals. representation equivalent to a knot vector without knot origin ? geometrically intuitive (especially for periodic case) ? different representation for odd and even degree

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CMSC 203 / 0201 Fall 2002

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Mixture Density Networks

Mixture Density Networks. Qiang Lou. Outline . Simple Example Introduction of MDN Analysis of MDN Weights Optimization Prediction. Simple Example. The inverse problem of x=t+0.3*sin(2?t) Input: x, output: t. Learn form the example.

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Greatest Common Divisor

Greatest Common Divisor. Definitions. Let a and b be two non-zero integers. The greatest common divisor of a and b , denoted gcd(a,b) is the largest of all common divisors of a and b . When gcd( a,b ) = 1, we say that a and b are relatively prime. Examples. gcd(10,25) =

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Signatures for Network Coding

Signatures for Network Coding. Denis Charles Kamal Jain Kristin Lauter Microsoft Research. Network Coding Set-up. A directed graph of users G A server (source) distributing content Content is divided into packets and represented as vectors in a vector space

251 views • 10 slides