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Probabilistic Models

Probabilistic Models

Probabilistic Models. David Kauchak CS451 – Fall 2013. Admin. Assignment 6 Assignment 7 CS Lunch on Thursday. Midterm. Midterm mean: 37 median: 38. Probabilistic Modeling. Model the data with a probabilistic model specifically, learn p( features, label )

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Naïve Bayes Classifier

Naïve Bayes Classifier

Naïve Bayes Classifier. QUIZZ: Probability Basics . Quiz : We have two six-sided dice. When they are rolled , it could end up with the following occurrence: ( A ) dice 1 lands on side “3”, ( B ) dice 2 lands on side “1”, and ( C ) Two dice sum to eight. Answer the following questions:.

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484 views • 38 slides
9 th May 2012 IEK Presentation

9 th May 2012 IEK Presentation

Presentation in Aircraft Satellite Image Identification Using Bayesian Decision Theory And Moment Invariants Feature Extraction Dickson Gichaga Wambaa Supervised By Professor Elijah Mwangi University Of Nairobi Electrical And Information Engineering Dept.

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423 views • 35 slides
Naïve Bayes Classifier

Naïve Bayes Classifier

Naïve Bayes Classifier . Adopted from slides by Ke Chen from University of Manchester and YangQiu Song from MSRA. Generative vs. Discriminative Classifiers. Training classifiers involves estimating f: X  Y, or P(Y|X)

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Naïve Bayes Classifier

Naïve Bayes Classifier

Naïve Bayes Classifier. Ke Chen http://intranet.cs.man.ac.uk/mlo/comp20411/ Modified and extended by Longin Jan Latecki latecki@temple.edu. Outline. Background Probability Basics Probabilistic Classification Na ï ve Bayes Example: Play Tennis Relevant Issues Conclusions. Background.

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678 views • 19 slides
Naïve Bayes Classifier

Naïve Bayes Classifier

Naïve Bayes Classifier. Ke Chen http://intranet.cs.man.ac.uk/mlo/comp20411/ Modified and extended by Longin Jan Latecki latecki@temple.edu. Outline. Background Probability Basics Probabilistic Classification Na ï ve Bayes Example: Play Tennis Relevant Issues Conclusions. Background.

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224 views • 19 slides
Naïve Bayes Classifier

Naïve Bayes Classifier

Naïve Bayes Classifier . Ke Chen http://intranet.cs.man.ac.uk/mlo/comp20411/ Extended by Longin Jan Latecki latecki@temple.edu. COMP20411 Machine Learning. Outline. Background Probability Basics Probabilistic Classification Na ï ve Bayes Example: Play Tennis Relevant Issues

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797 views • 18 slides
Naïve Bayes Classifier

Naïve Bayes Classifier

Naïve Bayes Classifier. Ke Chen. Outline. Background Probability Basics Probabilistic Classification Na ï ve Bayes Principle and Algorithms Example: Play Tennis Relevant Issues Summary. Background. There are three methods to establish a classifier

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423 views • 18 slides
Naïve Bayes Classifier

Naïve Bayes Classifier

Naïve Bayes Classifier. Ke Chen. Outline. Background Probability Basics Probabilistic Classification Na ï ve Bayes Example: Play Tennis Relevant Issues Conclusions. Background. There are three methods to establish a classifier a ) Model a classification rule directly

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253 views • 17 slides
Naïve Bayes Classifier

Naïve Bayes Classifier

Naïve Bayes Classifier. Ke Chen http://intranet.cs.man.ac.uk/mlo/comp20411/ Modified and extended by Longin Jan Latecki latecki@temple.edu. Probability Basics . Prior, conditional and joint probability Prior probability: Conditional probability: Joint probability: Relationship:

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303 views • 12 slides

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