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115
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KDD
2006
ACM
16 years 4 months ago
2006
ACM
Often the best performing supervised learning models are ensembles of hundreds or thousands of base-level classifiers. Unfortunately, the space required to store this many classif...
120
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KDD
2004
ACM
16 years 4 months ago
2004
ACM
We propose and test an objective criterion for evaluation of clustering performance: How well does a clustering algorithm run on unlabeled data aid a classification algorithm? The...
125
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KDD
2003
ACM
16 years 4 months ago
2003
ACM
Dimensionality reduction via Random Projections has attracted considerable attention in recent years. The approach has interesting theoretical underpinnings and offers computation...
105
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CHI
2007
ACM
16 years 4 months ago
2007
ACM
We describe a new input method that utilizes patterned vibration that is generated through the finger writing on a textured pad. Using a flexible or a foldable textured pad which ...
121
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PODS
2006
ACM
16 years 4 months ago
2006
ACM
We initiate a novel study of clustering problems. Rather than specifying an explicit objective function to optimize, our framework allows the user of clustering algorithm to speci...