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» Optimizing Data Transformations for Classification Tasks
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CGO
2005
IEEE
14 years 29 days ago
A General Compiler Framework for Speculative Optimizations Using Data Speculative Code Motion
Data speculative optimization refers to code transformations that allow load and store instructions to be moved across potentially dependent memory operations. Existing research w...
Xiaoru Dai, Antonia Zhai, Wei-Chung Hsu, Pen-Chung...
DMIN
2006
132views Data Mining» more  DMIN 2006»
13 years 8 months ago
Discovering Accurate and Interesting Classification Rules Using Genetic Algorithm
Discovering accurate and interesting classification rules is a significant task in the post-processing stage of a data mining (DM) process. Therefore, an optimization problem exis...
Janaki Gopalan, Reda Alhajj, Ken Barker
JMLR
2010
182views more  JMLR 2010»
13 years 2 months ago
Quadratic Programming Feature Selection
Identifying a subset of features that preserves classification accuracy is a problem of growing importance, because of the increasing size and dimensionality of real-world data se...
Irene Rodriguez-Lujan, Ramón Huerta, Charle...
GECCO
2006
Springer
214views Optimization» more  GECCO 2006»
13 years 11 months ago
A new discrete particle swarm algorithm applied to attribute selection in a bioinformatics data set
Many data mining applications involve the task of building a model for predictive classification. The goal of such a model is to classify examples (records or data instances) into...
Elon S. Correa, Alex Alves Freitas, Colin G. Johns...
ICIP
2009
IEEE
14 years 8 months ago
Localized Null Space Representation For Dynamic Updating And Downdating In Image And Video Databases
Event/object classification and recognition is an extremely challenging problem, particularly when the query or stored data undergo an affine transformation due to camera motion. ...