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» Approximate Marginals in Latent Gaussian Models
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ESANN
2004
15 years 1 months ago
Sparse Bayesian kernel logistic regression
In this paper we present a simple hierarchical Bayesian treatment of the sparse kernel logistic regression (KLR) model based MacKay's evidence approximation. The model is re-p...
Gavin C. Cawley, Nicola L. C. Talbot
ICDM
2010
IEEE
166views Data Mining» more  ICDM 2010»
14 years 9 months ago
Exponential Family Tensor Factorization for Missing-Values Prediction and Anomaly Detection
In this paper, we study probabilistic modeling of heterogeneously attributed multi-dimensional arrays. The model can manage the heterogeneity by employing an individual exponential...
Kohei Hayashi, Takashi Takenouchi, Tomohiro Shibat...
88
Voted
JMLR
2010
136views more  JMLR 2010»
14 years 6 months ago
Approximate Riemannian Conjugate Gradient Learning for Fixed-Form Variational Bayes
Variational Bayesian (VB) methods are typically only applied to models in the conjugate-exponential family using the variational Bayesian expectation maximisation (VB EM) algorith...
Antti Honkela, Tapani Raiko, Mikael Kuusela, Matti...
95
Voted
GECCO
2008
Springer
152views Optimization» more  GECCO 2008»
15 years 22 days ago
Designing EDAs by using the elitist convergent EDA concept and the boltzmann distribution
This paper presents a theoretical definition for designing EDAs called Elitist Convergent Estimation of Distribution Algorithm (ECEDA), and a practical implementation: the Boltzm...
Sergio Ivvan Valdez Peña, Arturo Hern&aacut...
104
Voted
ICCV
2009
IEEE
14 years 9 months ago
Bayesian Poisson regression for crowd counting
Poisson regression models the noisy output of a counting function as a Poisson random variable, with a log-mean parameter that is a linear function of the input vector. In this wo...
Antoni B. Chan, Nuno Vasconcelos