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» One Size Fits All? A Simple Technique to Perform Several NLP...
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TAL
2004
Springer
12 years 7 months ago
One Size Fits All? A Simple Technique to Perform Several NLP Tasks
Word fragments or n-grams have been widely used to perform different Natural Language Processing tasks such as information retrieval [1] [2], document categorization [3], automatic...
Daniel Gayo-Avello, Darío Álvarez Gu...
ICML
2000
IEEE
13 years 2 months ago
Less is More: Active Learning with Support Vector Machines
We describe a simple active learning heuristic which greatly enhances the generalization behavior of support vector machines (SVMs) on several practical document classification ta...
Greg Schohn, David Cohn
VIS
2009
IEEE
154views Visualization» more  VIS 2009»
13 years 3 months ago
A User Study to Compare Four Uncertainty Visualization Methods for 1D and 2D Datasets
Many techniques have been proposed to show uncertainty in data visualizations. However, very little is known about their effectiveness in conveying meaningful information. In this ...
Jibonananda Sanyal, Song Zhang, Gargi Bhattachar...
CMG
2003
12 years 3 months ago
{Performance Modeling and Evaluation of Large-Scale J2EE Applications
The queueing Petri net (QPN) paradigm provides a number of beneļ¬ts over conventional modeling paradigms such as queueing networks and generalized stochastic Petri nets. Using qu...
Samuel Kounev, Alejandro P. Buchmann
SIGKDD
2000
95views more  SIGKDD 2000»
12 years 1 months ago
Scalability for Clustering Algorithms Revisited
This paper presents a simple new algorithm that performs k-means clustering in one scan of a dataset, while using a bu er for points from the dataset of xed size. Experiments show...
Fredrik Farnstrom, James Lewis, Charles Elkan
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