10 Csi5388 PPTs View free & download

CSI5388 Putting it all together: Error Estimation of Machine Learning Algorithms PowerPoint PPT Presentation

CSI5388 Putting it all together: Error Estimation of Machine Learning Algorithms - CSI5388 Putting it all together: Error Estimation of Machine Learning Algorithms Testing Learning Algorithms The process of Testing the performance of our learning ...

CSI5388 Putting it all together: Error Estimation of Machine Learning Algorithms Testing Learning Algorithms The process of Testing the performance of our learning ...

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CSI5388:%20A%20Critique%20of%20our%20Evaluation%20Practices%20in%20Machine%20Learning PowerPoint PPT Presentation

CSI5388:%20A%20Critique%20of%20our%20Evaluation%20Practices%20in%20Machine%20Learning - 1. CSI5388: A Critique of our Evaluation Practices in Machine Learning. 2. Observations ... In such fields, researchers have been more concerned with the meaning and ...

1. CSI5388: A Critique of our Evaluation Practices in Machine Learning. 2. Observations ... In such fields, researchers have been more concerned with the meaning and ...

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CSI5388:%20Functional%20Elements%20of%20Statistics%20for%20Machine%20Learning%20%20Part%20I PowerPoint PPT Presentation

CSI5388:%20Functional%20Elements%20of%20Statistics%20for%20Machine%20Learning%20%20Part%20I - Formulate a null hypothesis stating the opposite of your research hypothesis. In particular, the null hypothesis regards the relationship between the sampling ...

Formulate a null hypothesis stating the opposite of your research hypothesis. In particular, the null hypothesis regards the relationship between the sampling ...

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CSI5388 Model Selection PowerPoint PPT Presentation

CSI5388 Model Selection - ... in Model Selection: Performance and Generalizability' by Malcom R. Forster ... log f(x; ?= ?^)/n k/n ... adjustable parameters and f(x, ?) is the density] ...

... in Model Selection: Performance and Generalizability' by Malcom R. Forster ... log f(x; ?= ?^)/n k/n ... adjustable parameters and f(x, ?) is the density] ...

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CSI5388 Data Sets: Running Proper Comparative Studies with Large Data Repositories Based on Salzberg PowerPoint PPT Presentation

CSI5388 Data Sets: Running Proper Comparative Studies with Large Data Repositories Based on Salzberg - The researcher can easily experiment with real-world data sets (rather ... We can then compare the percent of times where A B and B A, throwing out the ties ...

The researcher can easily experiment with real-world data sets (rather ... We can then compare the percent of times where A B and B A, throwing out the ties ...

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CSI5388: Functional Elements of Statistics for Machine Learning Part II PowerPoint PPT Presentation

CSI5388: Functional Elements of Statistics for Machine Learning Part II - Find the value V in the Wilcoxon table, for n1 and n2 and the significance level ... We compare T to a Wilcoxon T table. 14 ... and sp, its square root. ...

Find the value V in the Wilcoxon table, for n1 and n2 and the significance level ... We compare T to a Wilcoxon T table. 14 ... and sp, its square root. ...

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ONE-CLASS%20CLASSIFICATION PowerPoint PPT Presentation

ONE-CLASS%20CLASSIFICATION - ONE-CLASS CLASSIFICATION Theme presentation for CSI5388 PENGCHENG XI Mar. 09, 2005 papers D.M.J. Tax, One-class classification; Concept-learning in the absence of ...

ONE-CLASS CLASSIFICATION Theme presentation for CSI5388 PENGCHENG XI Mar. 09, 2005 papers D.M.J. Tax, One-class classification; Concept-learning in the absence of ...

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CSI5388 Practical Recommendations PowerPoint PPT Presentation

CSI5388 Practical Recommendations - The only difference is that the domains in this class will be more closely ... if a test is asymptotically distribution free (i.e., if it becomes more and more ...

The only difference is that the domains in this class will be more closely ... if a test is asymptotically distribution free (i.e., if it becomes more and more ...

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Random Forests PowerPoint PPT Presentation

Random Forests - Random split selection does better than bagging; introduction of random noise ... In each iteration, 10% of the data was split off as a test set. ...

Random split selection does better than bagging; introduction of random noise ... In each iteration, 10% of the data was split off as a test set. ...

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CSI5388 Data Sets Part II Experiments with Artificial Data Sets PowerPoint PPT Presentation

CSI5388 Data Sets Part II Experiments with Artificial Data Sets - Assessing the Impact of Changing environments on Classifier Performance ... Season changes (NGP/SW): Soft Winter: Flu Symptoms get milder ...

Assessing the Impact of Changing environments on Classifier Performance ... Season changes (NGP/SW): Soft Winter: Flu Symptoms get milder ...

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Csi5388 PowerPoint PPT Presentations