4660 search results - page 335 / 932 » Learning from imperfect data |
130
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ICDM
2006
IEEE
16 years 24 days ago
2006
IEEE
Under-sampling is a class-imbalance learning method which uses only a subset of major class examples and thus is very efficient. The main deficiency is that many major class exa...
158
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ECSQARU
2005
Springer
16 years 8 days ago
2005
Springer
In this paper we explore the use of several types of structural restrictions within algorithms for learning Bayesian networks. These restrictions may codify expert knowledge in a g...
166
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CE
2007
15 years 6 months ago
2007
Wireless data communications in form of Short Message Service (SMS) and Wireless Access Protocols (WAP) browsers have gained global popularity, yet, not much has been done to exte...
189
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IJON
2010
15 years 5 months ago
2010
We present two approaches to extend Robust Soft Learning Vector Quantization (RSLVQ). This algorithm for nearest prototype classification is derived from an explicit cost functio...
171
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AIRS
2010
Springer
15 years 4 months ago
2010
Springer
Many tasks of information extraction or natural language processing have a property that the data naturally consist of several views--disjoint subsets of features. Specifically, a ...