3250 search results - page 590 / 650 » Parameterized Learning Complexity |
134
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IPMI
2001
Springer
16 years 3 months ago
2001
Springer
Statistical analysis of anatomical shape differences between two different populations can be reduced to a classification problem, i.e., learning a classifier function for assignin...
120
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ICML
1998
IEEE
16 years 3 months ago
1998
IEEE
In a recent paper, Friedman, Geiger, and Goldszmidt [8] introduced a classifier based on Bayesian networks, called Tree Augmented Naive Bayes (TAN), that outperforms naive Bayes a...
141
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SIGSOFT
2009
ACM
16 years 3 months ago
2009
ACM
Many testing and analysis techniques use finite state models to validate and verify the quality of software systems. Since the specification of such models is complex and timecons...
133
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KDD
2009
ACM
16 years 3 months ago
2009
ACM
Spatial classification is the task of learning models to predict class labels based on the features of entities as well as the spatial relationships to other entities and their fe...
158
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KDD
2009
ACM
16 years 3 months ago
2009
ACM
Spectral clustering refers to a flexible class of clustering procedures that can produce high-quality clusterings on small data sets but which has limited applicability to large-s...