1167 search results - page 101 / 234 » Limits of Spectral Clustering |
127
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OSDI
2008
ACM
16 years 4 months ago
2008
ACM
We pose partitioning a b-bit Internet Protocol (IP) address space as a supervised learning task. Given (IP, property) labeled training data, we develop an IP-specific clustering a...
117
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ICASSP
2009
IEEE
15 years 11 months ago
2009
IEEE
K-Means is a clustering algorithm that is widely applied in many elds, including pattern classi cation and multimedia analysis. Due to real-time requirements and computational-cos...
148
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ACL
2008
15 years 6 months ago
2008
Statistical machine learning methods are employed to train a Named Entity Recognizer from annotated data. Methods like Maximum Entropy and Conditional Random Fields make use of fe...
128
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ESWA
2007
15 years 4 months ago
2007
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...
157
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IDEAL
2010
Springer
15 years 3 months ago
2010
Springer
Automated Planning is a very active area of research within Artificial Intelligence. Broadly this discipline deals with the methods by which an agent can independently determine t...