'Decision tree classifier' presentation slideshows

Decision Trees

945 views • 87 slides

Machine Learning

Machine Learning. Lecture 10 Decision Tree Learning. Decision Trees. A hierarchical data structure that represents data by implementing a divide and conquer strategy Can be used as a non-parametric classification and regression method.

721 views • 51 slides

Machine Learning

Machine Learning. Lecture 10 Decision Tree Learning. Decision Trees. A hierarchical data structure that represents data by implementing a divide and conquer strategy Can be used as a non-parametric classification and regression method.

622 views • 49 slides

An introduction to data mining --Who should provide Cake for PGF?

An introduction to data mining --Who should provide Cake for PGF?. Peng Yin MI 6 16/10/2011. Outline. Overview of data mining Background Data set and Tables What is data mining Decision tree Decision tree analysis Common Uses of Data Mining. Backgroud.

564 views • 42 slides

Automated Target Recognition Using Mathematical Morphology

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435 views • 36 slides

PUBLIC: A Decision Tree Classifier that Integrates Building and Pruning

PUBLIC: A Decision Tree Classifier that Integrates Building and Pruning. Rajeev Rastogi Kyuseok Shim. Presented by: Alon Keinan. Presentation layout. Introduction: Classification and Decision Trees Decision Tree Building Algorithms SPRINT & MDL PUBLIC Performance Comparison

474 views • 27 slides

Data Stream Management Systems Checkpoint

Data Stream Management Systems Checkpoint. CS240B Notes by Carlo Zaniolo UCLA CSD With slides from a KDD04 tutorial by Haixun Wang, Jian Pei & Philip Yu. Mining Data Streams: Challenges. On-line response (NB), limited memory, most recent windows only Fast & Light algorithms needed:

328 views • 19 slides

Data Stream Management Systems Checkpoint

Data Stream Management Systems Checkpoint. CS240B Notes by Carlo Zaniolo UCLA CSD With slides from a KDD04 tutorial by Haixun Wang, Jian Pei & Philip Yu. Mining Data Streams: Challenges. On-line response (NB), limited memory, most recent windows only Fast & Light algorithms needed:

197 views • 19 slides

Sound Detection

Sound Detection. Derek Hoiem Rahul Sukthankar (mentor) August 24, 2004. Objective. Learn model of sound object from few (10-20) examples and distinguish from all other sounds Examples of sound classes: Gunshots, screams, laughter, car horns, meow, dog bark, etc. Applications.

608 views • 16 slides

Sound Detection

Sound Detection. Derek Hoiem Rahul Sukthankar (mentor) August 24, 2004. Objective. Learn model of sound object from few (10-20) examples and distinguish from all other sounds Examples of sound classes: Gunshots, screams, laughter, car horns, meow, dog bark, etc. Applications.

173 views • 16 slides