1340 search results - page 85 / 268 » Structure learning of Bayesian networks using constraints |
100
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ACMSE
2006
ACM
15 years 1 months ago
2006
ACM
Society has grown to rely on Internet services, and the number of Internet users increases every day. As more and more users become connected to the network, the window of opportu...
104
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EMNLP
2010
14 years 10 months ago
2010
In this paper, we present a novel approach to enhance hierarchical phrase-based machine translation systems with linguistically motivated syntactic features. Rather than directly ...
NN
2007
Springer
14 years 11 months ago
2007
Springer
Echo State Networks (ESNs) have been shown to be effective for a number of tasks, including motor control, dynamic time series prediction, and memorizing musical sequences. Howeve...
117
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CVPR
2012
IEEE
13 years 2 months ago
2012
IEEE
Pictorial Structures (PS) define a probabilistic model of 2D articulated objects in images. Typical PS models assume an object can be represented by a set of rigid parts connecte...
115
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AAAI
2007
15 years 2 months ago
2007
Complex networks exist in a wide array of diverse domains, ranging from biology, sociology, and computer science. These real-world networks, while disparate in nature, often compr...