1025 search results - page 175 / 205 » Constraint Programming for Data Mining and Machine Learning |
116
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MICRO
1996
IEEE
15 years 6 months ago
1996
IEEE
For decades, the serialization constraints imposed by true data dependences have been regarded as an absolute limit--the dataflow limit--on the parallel execution of serial progra...
134
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CLUSTER
2005
IEEE
15 years 7 months ago
2005
IEEE
The amount of data collected and stored in databases is growing considerably for almost all areas of human activity. Processing this amount of data is very expensive, both humanly...
140
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WSDM
2012
ACM
13 years 9 months ago
2012
ACM
It is well known that different types of social ties have essentially different influence between people. However, users in online social networks rarely categorize their contact...
107
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KDD
2004
ACM
16 years 2 months ago
2004
ACM
Machine learning approaches are frequently used to solve name entity (NE) recognition (NER). In this paper we propose a hybrid method that uses maximum entropy (ME) as the underly...
124
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ICML
2006
IEEE
16 years 2 months ago
2006
IEEE
Clustering is one of the most widely used statistical tools for data analysis. Among all existing clustering techniques, k-means is a very popular method because of its ease of pr...