881 search results - page 15 / 177 » Spectral Algorithms for Supervised Learning |
102
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BIOSTEC
2008
15 years 3 months ago
2008
Abstract. The wavelet transform is a widely used pre-filtering step for subsequent R spike detection by thresholding of the coefficients. The time-frequency decomposition is indeed...
115
Voted
CVPR
2005
IEEE
16 years 4 months ago
2005
IEEE
For large scale automatic semantic video characterization, it is necessary to learn and model a large number of semantic concepts. But a major obstacle to this is the insufficienc...
98
Voted
ICML
2005
IEEE
16 years 3 months ago
2005
IEEE
Supervised clustering is the problem of training a clustering algorithm to produce desirable clusterings: given sets of items and complete clusterings over these sets, we learn ho...
132
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ACL
2006
15 years 3 months ago
2006
Shortage of manually labeled data is an obstacle to supervised relation extraction methods. In this paper we investigate a graph based semi-supervised learning algorithm, a label ...
109
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EMNLP
2010
15 years 13 days ago
2010
Although many algorithms have been developed to harvest lexical resources, few organize the mined terms into taxonomies. We propose (1) a semi-supervised algorithm that uses a roo...