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Short-Term Prediction of Wind Farm Power: A Data Mining Approach: This paper examines time series models for predicting the power of a wind farm at different time scales, i.e., 10-min and hour-long intervals. The time series models are built with data mining algorithms. Five different data mining algorithms have been tested on various wind farm datasets. Two of the five...; Tags: Algorithm, Wind Farm, Time Series Model, Support Vector Machine Regression Algorithm, Data Mining, Business Intelligence, Engineering, Marketing Research, Databases, Enterprise Software, Software, Data Management, Marketing; White papers 2009-03-01

Peter Norvig on Google's mistrust of machine learning: Peter Norvig has been at Google for a long time now -- he was, until recently, the Directory of Search Quality; the guy who made sure every time you submitted a query, you usually got what you wanted. He has since moved into the Director of Research role, but...; Tags: Algorithm, Google Inc., Peter Norvig, Anand, Engineering, Garett Rogers; Blog posts 2008-05-25
Modified Logistic Regression: An Approximation to SVM and Its Applications in Large-Scale Text Categorization: Logistic Regression LR has been widely used in statistics for many years, and has received extensive study in machine learning community recently due to its close relations to Support Vector Machines SVM and Ad-a-Boost. This paper uses a modified version of LR to approximate the optimization of SVM by a...; Tags: Carnegie-Mellon University, Approximation, Logistic Regression, Engineering; White papers 2007-12-01

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