ICMLA 2008 - PDF Preprint Papers

ICMLA 2008 Fourth International Conference on Machine Learning and Applications

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ICMLA
2008

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A Bayesian Approach to Switching Linear Gaussian State-Space Models for Unsupervised Time-Series Segmentation

14 years 26 days ago

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Time-series segmentation in the fully unsupervised scenario in which the number of segment-types is a priori unknown is a fundamental problem in many applications. We propose a Ba...

Silvia Chiappa

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Id	Views	Title	Status

1	244	A Bayesian Approach to Switching Linear Gaussian State-Space Models for Unsupervised Time-Series Segmentation	claim
2	206	Comparison of Evaluation Metrics in Classification Applications with Imbalanced Datasets	claim
3	195	Basis Function Construction in Reinforcement Learning Using Cascade-Correlation Learning Architecture	claim
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9	147	Image Segmentation as Learning on Hypergraphs	claim
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