Efficient case-based reasoning through feature weighting, and its application in protein crystallography /

Data preprocessing is critical for machine learning, data mining, and pattern recognition. In particular, selecting relevant and non-redundant features in highdimensional data is important to efficiently construct models that accurately describe the data. In this work, I present SLIDER, an algorithm...

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Bibliographic Details

Main Author:	Gopal, Kreshna
Other Authors:	Ioerger, Thomas R. (Thesis advisor)
Format:	Thesis eBook
Language:	English
Published:	[College Station, Tex.] : [Texas A&M University], [2010]
Subjects:	Major computer science. Nearest Neighbor Learning Feature Weighting Case-Based Reasoning Feature Selection Protein Crystallography
Online Access:	Link to OAK Trust copy