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All Blog Posts Tagged 'logistic regression' (2)

Interesting note and questions on mathematical patents

I was reading about the "Automated Reduced Error Predictive Analytics" patent secured by Rice Analytics (see below) and my first question is:

How can you successfully sue competitors about using a mathematical technology? After all, most vendors offer error and variance reduction as well as dimension reduction and automated model selection (based on optimizing goodness-of-fit) in their software. All statistical and data mining consultants, including myself, also use similar…

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Added by Capri on October 8, 2011 at 12:00pm — 4 Comments

Hidden Decision Trees - A Better Approach to Scoring

Hidden Decision Trees is a statistical and data mining methodology (just like logistic regression, SVM, neural networks or decision trees) to handle problems with large amounts of data, non-linearities and strongly correlated independent variables.



The technique is easy to implement in any programming language. It is more robust than decision trees or logistic regression. Implementations typically rely heavily on large, granular hash tables.



No decision tree is… Continue

Added by Vincent Granville on March 17, 2009 at 10:30pm — 2 Comments

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