'Training cases' diaporamas de présentation

A Sampling of Various Other Learning Methods

A Sampling of Various Other Learning Methods. Decision Tree Induction. Decision Tree Induction. An example decision tree to solve the problem of how to spend my free time (play soccer or go to the movies?). Outlook. Sunny. Overcast. Rain. Humidity. Soccer. Wind. High. Normal. High.

510 views • 34 slides

CSC 9010

CSC 9010. ANN Lab Paula Matuszek Spring, 2011. CSC 9010 Spring 2011. Paula Matuszek. Knowledge-Based Systems and Artificial Neural Nets. Knowledge Representation means: Capturing human knowledge In a form computer can reason about Is this relevant to ANNs?

385 views • 24 slides

A-TEAM: Advanced Training for Emergency Assessment and Management IST - 1999 - 10176

347 views • 24 slides

Boosting

Boosting. Main idea: train classifiers (e.g. decision trees) in a sequence. a new classifier should focus on those cases which were incorrectly classified in the last round. combine the classifiers by letting them vote on the final prediction (like bagging).

128 views • 10 slides

Boosting

Boosting. Main idea: train classifiers (e.g. decision trees) in a sequence. a new classifier should focus on those cases which were incorrectly classified in the last round. combine the classifiers by letting them vote on the final prediction (like bagging).

112 views • 10 slides

Pat Langley Computational Learning Laboratory Center for the Study of Language and Information

Machine Learning for Cognitive Networks. Pat Langley Computational Learning Laboratory Center for the Study of Language and Information Stanford University, Stanford, California http://cll.stanford.edu/~langley/.

105 views • 10 slides