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» Contention-Sensitive Data Structures and Algorithms
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106
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IICAI
2007
15 years 1 months ago
Extractive Summarization in Clinical Trials Protocol Summaries: A Case Study
This paper presents a method for extracting purpose statements from clinical trial protocol summaries. Simple summarization technology based on regular expressions and natural lang...
Graciela Rosemblat, Laurel Graham, Tony Tse
110
Voted
NIPS
2007
15 years 1 months ago
Sparse Feature Learning for Deep Belief Networks
Unsupervised learning algorithms aim to discover the structure hidden in the data, and to learn representations that are more suitable as input to a supervised machine than the ra...
Marc'Aurelio Ranzato, Y-Lan Boureau, Yann LeCun
107
Voted
RIAO
2007
15 years 1 months ago
Comprehensible and Accurate Cluster Labels in Text Clustering
The purpose of text clustering in information retrieval is to discover groups of semantically related documents. Accurate and comprehensible cluster descriptions (labels) let the ...
Jerzy Stefanowski, Dawid Weiss
FIMI
2003
210views Data Mining» more  FIMI 2003»
15 years 1 months ago
COFI-tree Mining: A New Approach to Pattern Growth with Reduced Candidacy Generation
Existing association rule mining algorithms suffer from many problems when mining massive transactional datasets. Some of these major problems are: (1) the repetitive I/O disk sca...
Osmar R. Zaïane, Mohammad El-Hajj
DAGSTUHL
1997
15 years 1 months ago
Fast and Accurate Collision Detection for Virtual Environments
A realistic simulation system, which couples geometry and physics, can provide a useful toolkit for virtual environments. Interactions among moving objects in the virtual worlds a...
Ming C. Lin