1025 search results - page 127 / 205 » Constraint Programming for Data Mining and Machine Learning |
151
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ASC
2006
15 years 3 months ago
2006
For some time, learning Bayesian networks has been both feasible and useful in many problems domains. Recently research has been done on learning equivalence classes of Bayesian n...
100
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KDD
2000
ACM
15 years 6 months ago
2000
ACM
Affordable, fast computers with large memories have lessened the demand for program efficiency, but applications such as browsing and searching very large databases often have rat...
139
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PAKDD
2005
ACM
15 years 8 months ago
2005
ACM
Abstract. Discriminative and generative methods provide two distinct approaches to machine learning classification. One advantage of generative approaches is that they naturally mo...
114
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IPPS
1999
IEEE
15 years 7 months ago
1999
IEEE
The automatic construction of classi ers programs able to correctly classify data collected from the real world is one of the major problems in pattern recognition and in a wide ar...
109
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ICML
2009
IEEE
16 years 3 months ago
2009
IEEE
Similarity measures in many real applications generate indefinite similarity matrices. In this paper, we consider the problem of classification based on such indefinite similariti...