1183 search results - page 22 / 237 » Learning Process Models with Missing Data |
108
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NIPS
2007
15 years 2 months ago
2007
We show how to use unlabeled data and a deep belief net (DBN) to learn a good covariance kernel for a Gaussian process. We first learn a deep generative model of the unlabeled da...
112
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RCIS
2010
14 years 11 months ago
2010
Continuous customer-centric requirements reprioritization is essential in successfully performing agile software development. Yet, in the agile RE literature, very little is known ...
NPL
2006
15 years 1 months ago
2006
A novel neural network model is described that implements context-dependent learning of complex sequences. The model utilises leaky integrate-and-fire neurons to extract timing inf...
166
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STAIRS
2008
15 years 2 months ago
2008
This paper presents an extensive evaluation, on artificial datasets, of EDY, an unsupervised algorithm for automatically synthesizing a Structured Hidden Markov Model (S-HMM) from ...
133
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ML
2000
ACM
15 years 1 months ago
2000
ACM
A new class of evolutionary computation processes is presented, called Learnable Evolution Model or LEM. In contrast to Darwinian-type evolution that relies on mutation, recombinat...