2901 search results - page 455 / 581 » Predicting non-stationary processes |
154
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ICDM
2008
IEEE
16 years 16 days ago
2008
IEEE
We introduce dynamic correlated topic models (DCTM) for analyzing discrete data over time. This model is inspired by the hierarchical Gaussian process latent variable models (GP-L...
167
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IJCNN
2008
IEEE
16 years 15 days ago
2008
IEEE
Abstract— Meta-Learning has been used to predict the performance of learning algorithms based on descriptive features of the learning problems. Each training example in this cont...
196
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IJCNN
2008
IEEE
16 years 15 days ago
2008
IEEE
— Ordinal regression is an important type of learning, which has properties of both classification and regression. Here we describe an effective approach to adapt a traditional ...
175
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IPPS
2008
IEEE
16 years 15 days ago
2008
IEEE
Graph structure can model the relationships among a set of objects. Mining quasi-clique patterns from large dense graph data makes sense with respect to both statistic and applica...
177
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IROS
2008
IEEE
16 years 15 days ago
2008
IEEE
— This paper proposes a computational model for phoneme acquisition by infants. Human infants perceive speech sounds not as discrete phoneme sequences but as continuous acoustic ...