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157
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JMLR
2010
192views more  JMLR 2010»
14 years 10 months ago
Inducing Tree-Substitution Grammars
Inducing a grammar from text has proven to be a notoriously challenging learning task despite decades of research. The primary reason for its difficulty is that in order to induce...
Trevor Cohn, Phil Blunsom, Sharon Goldwater
TMI
2008
138views more  TMI 2008»
15 years 2 months ago
Dynamic Positron Emission Tomography Data-Driven Analysis Using Sparse Bayesian Learning
A method is presented for the analysis of dynamic positron emission tomography (PET) data using sparse Bayesian learning. Parameters are estimated in a compartmental framework usin...
Jyh-Ying Peng, John A. D. Aston, R. N. Gunn, Cheng...
110
Voted
SOFTWARE
2002
15 years 3 months ago
Sequential Diagnosis in the Independence Bayesian Framework
We present a new approach to test selection in sequential diagnosis (or classification) in the independence Bayesian framework that resembles the hypothetico-deductive approach to ...
David McSherry
ICCV
1999
IEEE
16 years 5 months ago
A Bidirectional Matching Algorithm for Deformable Pattern Detection with Application to Handwritten Word Retrieval
A Bayesian framework for deformable pattern classification has been proposed in [1] with promising results for isolated handwritten character recognition. Its performance, however...
Kwok-Wai Cheung, Dit-Yan Yeung, Roland T. Chin
ICML
2004
IEEE
16 years 4 months ago
Predictive automatic relevance determination by expectation propagation
In many real-world classification problems the input contains a large number of potentially irrelevant features. This paper proposes a new Bayesian framework for determining the r...
Yuan (Alan) Qi, Thomas P. Minka, Rosalind W. Picar...