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NAACL
2004
15 years 7 months ago
Name Tagging with Word Clusters and Discriminative Training
We present a technique for augmenting annotated training data with hierarchical word clusters that are automatically derived from a large unannotated corpus. Cluster membership is...
Scott Miller, Jethran Guinness, Alex Zamanian
RIAO
2004
15 years 7 months ago
Unsupervised Learning with Term Clustering for Thematic Segmentation of Texts
In this paper we introduce a machine learning approach for automatic text segmentation. Our text segmenter clusters text-segments containing similar concepts. It first discovers th...
Marc Caillet, Jean-François Pessiot, Massih...
CAL
2006
15 years 6 months ago
Performance, power efficiency and scalability of asymmetric cluster chip multiprocessors
This paper evaluates asymmetric cluster chip multiprocessor (ACCMP) architectures as a mechanism to achieve the highest performance for a given power budget. ACCMPs execute serial ...
T. Y. Morad, Uri C. Weiser, A. Kolodnyt, Mateo Val...
ESWA
2007
119views more  ESWA 2007»
15 years 6 months ago
Marketing segmentation using support vector clustering
ct 9 Marketing segmentation is widely used for targeting a smaller market and is useful for decision makers to reach all customers effec10 tively with one basic marketing mix. Alt...
Jih-Jeng Huang, Gwo-Hshiung Tzeng, Chorng-Shyong O...
TSE
2002
96views more  TSE 2002»
15 years 5 months ago
Better Reliability Assessment and Prediction through Data Clustering
This paper presents a new approach to software reliability modeling by grouping data into clusters of homogeneous failure intensities. This series of data clusters associated with...
Jeff Tian