2898 search results - page 319 / 580 » Ensemble Methods in Machine Learning |
133
Voted
PRL
2010
15 years 28 days ago
2010
: Organizing data into sensible groupings is one of the most fundamental modes of understanding and learning. As an example, a common scheme of scientific classification puts organ...
124
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CORR
2008
Springer
15 years 2 months ago
2008
Springer
: Boosting is a general method for improving the accuracy of any given learning algorithm. In this paper we employ combination of Adaboost with Support Vector Machine (SVM) as comp...
155
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EMNLP
2010
15 years 16 days ago
2010
This paper proposes a method for automatically inserting commas into Japanese texts. In Japanese sentences, commas play an important role in explicitly separating the constituents...
114
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SIGECOM
1999
ACM
15 years 6 months ago
1999
ACM
Markets for electronic goods provide the possibility of exploring new and more complex pricing schemes, due to the flexibility of information goods and negligible marginal cost. I...
103
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CIDM
2007
IEEE
15 years 6 months ago
2007
IEEE
Kernel methods are effective approaches to the modeling of structured objects in learning algorithms. Their major drawback is the typically high computational complexity of kernel ...