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» A Framework for Multiple-Instance Learning
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163
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ECML
2006
Springer
15 years 7 months ago
Variational Bayesian Dirichlet-Multinomial Allocation for Exponential Family Mixtures
Abstract. This paper studies a Bayesian framework for density modeling with mixture of exponential family distributions. Variational Bayesian Dirichlet-Multinomial allocation (VBDM...
Shipeng Yu, Kai Yu, Volker Tresp, Hans-Peter Krieg...
102
Voted
ALT
2010
Springer
15 years 5 months ago
Distribution-Dependent PAC-Bayes Priors
We further develop the idea that the PAC-Bayes prior can be informed by the data-generating distribution. We prove sharp bounds for an existing framework of Gibbs algorithms, and ...
Guy Lever, François Laviolette, John Shawe-...
138
Voted
SFP
2003
15 years 5 months ago
Testing Scheme programming assignments automatically
Abstract In distance learning the lack of direct communication between teachers and learners makes it difficult to provide direct assistance to students while they are solving the...
Manfred Widera
120
Voted
COLING
2008
15 years 4 months ago
Experiments with Reasoning for Temporal Relations between Events
Few attempts have been made to investigate the utility of temporal reasoning within machine learning frameworks for temporal relation classification between events in news articl...
Marta Tatu, Munirathnam Srikanth
163
Voted
ICIP
2007
IEEE
16 years 5 months ago
3D Human Motion Tracking using Manifold Learning
This paper introduces a framework to track 3D human movement using Gaussian process dynamic model (GPDM) and particle filter. The framework combines the particle filter and discri...
Feng Guo, Gang Qian