24 Hyperquadric PPTs View free & download

Previous approach to supervised learning (Parametric approach) : PowerPoint PPT Presentation

Previous approach to supervised learning (Parametric approach) : - Assume that the form of the underlying probability densities were known. ... separating surface defined by g(x)=0 is a second-degree or hyperquadric surface. ...

Assume that the form of the underlying probability densities were known. ... separating surface defined by g(x)=0 is a second-degree or hyperquadric surface. ...

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Pattern Recognition: Baysian Decision Theory PowerPoint PPT Presentation

Pattern Recognition: Baysian Decision Theory - ... features with equal variances yields hyperplane decision surfaces Equal covariance matrices for each class also yields hyperplane decision surfaces Arbitrary ...

... features with equal variances yields hyperplane decision surfaces Equal covariance matrices for each class also yields hyperplane decision surfaces Arbitrary ...

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Pattern Classification All materials in these slides were taken from Pattern Classification 2nd ed b PowerPoint PPT Presentation

Pattern Classification All materials in these slides were taken from Pattern Classification 2nd ed b - Case i = (covariance of all classes are identical but arbitrary! ... v1, v2, ..., vm. Case of independent binary features in 2 category problem ...

Case i = (covariance of all classes are identical but arbitrary! ... v1, v2, ..., vm. Case of independent binary features in 2 category problem ...

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Pattern Classification All materials in these slides were taken from Pattern Classification (2nd ed) by R. O. Duda, P. E. Hart and D. G. Stork, John Wiley PowerPoint PPT Presentation

Pattern Classification All materials in these slides were taken from Pattern Classification (2nd ed) by R. O. Duda, P. E. Hart and D. G. Stork, John Wiley - ... Decision Theory (Sections 2-6,2-9) Discriminant Functions for ... We saw that the minimum error-rate classification can be achieved by the discriminant function ...

... Decision Theory (Sections 2-6,2-9) Discriminant Functions for ... We saw that the minimum error-rate classification can be achieved by the discriminant function ...

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Pattern Classification All materials in these slides were taken from Pattern Classification (2nd ed) by R. O. Duda, P. E. Hart and D. G. Stork, John Wiley - Good convergence properties as the sample size increases ... Speech sounds. ideal or prototype corrupted by random process (central limit theorem) ...

Good convergence properties as the sample size increases ... Speech sounds. ideal or prototype corrupted by random process (central limit theorem) ...

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An Exact Approach for Learning Vector Quantization PowerPoint PPT Presentation

An Exact Approach for Learning Vector Quantization - An Exact Approach for. Learning Vector Quantization. Aree Witoelar. Michael Biehl ... Heuristics, no cost function explicitly related to generalization error ...

An Exact Approach for. Learning Vector Quantization. Aree Witoelar. Michael Biehl ... Heuristics, no cost function explicitly related to generalization error ...

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Pattern Recognition: Baysian Decision Theory - Pattern Recognition: Baysian Decision Theory Charles Tappert Seidenberg School of CSIS, Pace University Pattern Classification Most of the material in these s ...

Pattern Recognition: Baysian Decision Theory Charles Tappert Seidenberg School of CSIS, Pace University Pattern Classification Most of the material in these s ...

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Intro to Pattern Recognition : Bayesian Decision Theory PowerPoint PPT Presentation

Intro to Pattern Recognition : Bayesian Decision Theory - Intro to Pattern Recognition : Bayesian Decision Theory 2. 1 Introduction 2.2 Bayesian Decision Theory Continuous Features Materials used in this course were taken ...

Intro to Pattern Recognition : Bayesian Decision Theory 2. 1 Introduction 2.2 Bayesian Decision Theory Continuous Features Materials used in this course were taken ...

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Lecture 23 Bayesian Decision Theory PowerPoint PPT Presentation

Lecture 23 Bayesian Decision Theory - 4 terms (Prior, likelihood, evidence, Posteriori) ... The probability of a class i for a given feature value x (Posteriori- P( j | x) ) Aug. 2006 ...

4 terms (Prior, likelihood, evidence, Posteriori) ... The probability of a class i for a given feature value x (Posteriori- P( j | x) ) Aug. 2006 ...

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Bayesian Decision Theory PowerPoint PPT Presentation

Bayesian Decision Theory - Bayesian Decision Theory Z. Ghassabi *

Bayesian Decision Theory Z. Ghassabi *

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Bayesian Decision Theory (Classification) PowerPoint PPT Presentation

Bayesian Decision Theory (Classification) - The Normal Distribution. Basics of Probability. Discrete random variable (X) ... Probability mass function (pmf): Cumulative distribution function (cdf) ...

The Normal Distribution. Basics of Probability. Discrete random variable (X) ... Probability mass function (pmf): Cumulative distribution function (cdf) ...

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Bayesian Decision Theory (Sections 2.1-2.2) PowerPoint PPT Presentation

Bayesian Decision Theory (Sections 2.1-2.2) - Bayesian Decision Theory (Sections 2.1-2.2) Decision problem posed in probabilistic terms Bayesian Decision Theory Continuous Features All the relevant probability ...

Bayesian Decision Theory (Sections 2.1-2.2) Decision problem posed in probabilistic terms Bayesian Decision Theory Continuous Features All the relevant probability ...

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Pattern Classification All materials in these slides were taken from Pattern Classification 2nd ed b - Pattern Classification. All materials in these s were taken from ... (2nd ed) by R. O. Duda, P. E. Hart and D. G. Stork, John Wiley & Sons, 2000 ...

Pattern Classification. All materials in these s were taken from ... (2nd ed) by R. O. Duda, P. E. Hart and D. G. Stork, John Wiley & Sons, 2000 ...

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240650 Principles of Pattern Recognition PowerPoint PPT Presentation

240650 Principles of Pattern Recognition - Bayesian Decision Theory cont. Whenever we observe a particular x, the prob. of error is ... Bayesian Decision Theory--continuous features. Feature space ...

Bayesian Decision Theory cont. Whenever we observe a particular x, the prob. of error is ... Bayesian Decision Theory--continuous features. Feature space ...

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Machine Learning Methods for Human-Computer Interaction PowerPoint PPT Presentation

Machine Learning Methods for Human-Computer Interaction - ... Massachussetts Institute of Technology, MA ... KDE for activity recognition data KDE for gesture recognition data Other density estimation methods ...

... Massachussetts Institute of Technology, MA ... KDE for activity recognition data KDE for gesture recognition data Other density estimation methods ...

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CS479679 Pattern Recognition Spring 2006 Prof' Bebis PowerPoint PPT Presentation

CS479679 Pattern Recognition Spring 2006 Prof' Bebis - Quantifies the tradeoffs between various classification ... using Bays rule: x*=xB. Bayes rule minimizes: 50. Error Probabilities and Integrals (cont'd) ...

Quantifies the tradeoffs between various classification ... using Bays rule: x*=xB. Bayes rule minimizes: 50. Error Probabilities and Integrals (cont'd) ...

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Previous approach to supervised learning (Parametric approach) : - LINEAR DISCRIMINANT FUNCTIONS Previous approach to supervised learning (Parametric approach) : Assume that the form of the underlying probability densities were known.

LINEAR DISCRIMINANT FUNCTIONS Previous approach to supervised learning (Parametric approach) : Assume that the form of the underlying probability densities were known.

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Statistical Data Mining: A Short Course for the Army Conference on Applied Statistics PowerPoint PPT Presentation

Statistical Data Mining: A Short Course for the Army Conference on Applied Statistics - Fractal Tours. Winding Curve ... 3 - Travel along a geodesic path between these two projection. 4 - Repeat ... on a fractal tour through a hypercube. Projection ...

Fractal Tours. Winding Curve ... 3 - Travel along a geodesic path between these two projection. 4 - Repeat ... on a fractal tour through a hypercube. Projection ...

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Introduction to Pattern Recognition PowerPoint PPT Presentation

Introduction to Pattern Recognition - Scanned from Pattern Classification by Duda, Hart, and Stork. Jie Zou ECSE RPI. 23 ... from Pattern Classification by Duda, Hart, and Stork. Jie Zou ECSE RPI ...

Scanned from Pattern Classification by Duda, Hart, and Stork. Jie Zou ECSE RPI. 23 ... from Pattern Classification by Duda, Hart, and Stork. Jie Zou ECSE RPI ...

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Intro to Pattern Recognition : Bayesian Decision Theory - Can we exploit prior knowledge in our fish classification problem: ... x =(blood pressure, glucose level, cough, x-ray, etc.) is an illness type ...

Can we exploit prior knowledge in our fish classification problem: ... x =(blood pressure, glucose level, cough, x-ray, etc.) is an illness type ...

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Pattern Classification All materials in these slides were taken from Pattern Classification 2nd ed b - Let x = [x1, x2, ..., xd ]t where each xi is either 0 or 1, with ... The class-conditional probabilities can be written as. The likelihood ratio is given by ...

Let x = [x1, x2, ..., xd ]t where each xi is either 0 or 1, with ... The class-conditional probabilities can be written as. The likelihood ratio is given by ...

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Intro to Pattern Recognition : Bayesian Decision Theory - Dr. Song-Chun Zhu, University of California, Los Angeles ... To minimize error, maximize P( i|x) also known as maximum a posteriori decoding (MAP) ...

Dr. Song-Chun Zhu, University of California, Los Angeles ... To minimize error, maximize P( i|x) also known as maximum a posteriori decoding (MAP) ...

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Outline - Decide w1 if P( w1 ) P( w2 ); w2 otherwise. OK if ... other than merely deciding the state of nature ... can decide w1 if the likelihood ratio exceeds ...

Decide w1 if P( w1 ) P( w2 ); w2 otherwise. OK if ... other than merely deciding the state of nature ... can decide w1 if the likelihood ratio exceeds ...

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CS479679 Pattern Recognition Spring 2006 Prof' Bebis - Parametric/non-parametric density estimation techniques find the decision ... Maps a line in x-space to a parabola in y-space. ...

Parametric/non-parametric density estimation techniques find the decision ... Maps a line in x-space to a parabola in y-space. ...

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Hyperquadric PowerPoint PPT Presentations