111 search results - page 13 / 23 » Perspectives on Sparse Bayesian Learning |
ACL
2007
15 years 1 months ago
2007
Unsupervised learning of linguistic structure is a difficult problem. A common approach is to define a generative model and maximize the probability of the hidden structure give...
112
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PKDD
2010
Springer
14 years 10 months ago
2010
Springer
In this paper we propose a Bayesian model for multi-task feature selection. This model is based on a generalized spike and slab sparse prior distribution that enforces the selectio...
125
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TSP
2011
14 years 6 months ago
2011
—Many complex dynamical phenomena can be effectively modeled by a system that switches among a set of conditionally linear dynamical modes. We consider two such models: the switc...
186
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CVPR
2012
IEEE
13 years 2 months ago
2012
IEEE
Navier’s equations modelling linear elastic solid deformations are embedded within an Extended Kalman Filter (EKF) to compute a sequential Bayesian estimate for the Non-Rigid St...
120
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UMUAI
1998
14 years 11 months ago
1998
We present an approach to keyhole plan recognition which uses a dynamic belief (Bayesian) network to represent features of the domain that are needed to identify users’ plans and...