1006 search results - page 90 / 202 » A Case Study for Learning from Imbalanced Data Sets |
167
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ACL
2006
15 years 7 months ago
2006
We investigate the use of machine learning in combination with feature engineering techniques to explore human multimodal clarification strategies and the use of those strategies ...
168
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ICIAP
2009
ACM
16 years 25 days ago
2009
ACM
Multi-modality is a fundamental feature that characterizes biological systems and lets them achieve high robustness in understanding skills while coping with uncertainty. Relativel...
153
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KDD
2005
ACM
16 years 6 months ago
2005
ACM
Clustering is the problem of identifying the distribution of patterns and intrinsic correlations in large data sets by partitioning the data points into similarity classes. This p...
141
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CVPR
2007
IEEE
16 years 8 months ago
2007
IEEE
We propose a novel classification approach for automatically detecting pulmonary embolism (PE) from computedtomography-angiography images. Unlike most existing approaches that req...
197
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JMLR
2010
15 years 26 days ago
2010
Learning dynamic Bayesian network structures provides a principled mechanism for identifying conditional dependencies in time-series data. An important assumption of traditional D...