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» A Bayesian Approach to Semi-Supervised Learning
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PKDD
2010
Springer
162views Data Mining» more  PKDD 2010»
13 years 7 months ago
Expectation Propagation for Bayesian Multi-task Feature Selection
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...
Daniel Hernández-Lobato, José Miguel...
ICDAR
2009
IEEE
14 years 3 months ago
Graphic Symbol Recognition Using Graph Based Signature and Bayesian Network Classifier
We present a new approach for recognition of complex graphic symbols in technical documents. Graphic symbol recognition is a well known challenge in the field of document image an...
Muhammad Muzzamil Luqman, Thierry Brouard, Jean-Yv...
ICPR
2004
IEEE
14 years 9 months ago
Tracking Periodic Motion using Bayesian Estimation
This paper presents a Bayesian approach to achieve efficient and accurate motion tracking in monocular image sequences. We first extract a deterministic motion model with six degr...
Andrew M. Wallace, Huiyu Zhou, Patrick R. Green
SIGIR
2008
ACM
13 years 8 months ago
Personalized active learning for collaborative filtering
Collaborative Filtering (CF) requires user-rated training examples for statistical inference about the preferences of new users. Active learning strategies identify the most infor...
Abhay Harpale, Yiming Yang
RECOMB
2004
Springer
14 years 9 months ago
Learning Regulatory Network Models that Represent Regulator States and Roles
Abstract. We present an approach to inferring probabilistic models of generegulatory networks that is intended to provide a more mechanistic representation of transcriptional regul...
Keith Noto, Mark Craven