Ian A. Wood

Publication Activity (10 Years)

Years Active: 2007-2016
Publications (10 Years): 4

Top Topics

Statistical Model

Variable Selection

Boltzmann Machines

Discriminative Random Fields

Top Venues

Comput. Stat. Data Anal.

IEEE Congress on Evolutionary Computation

IEEE Trans. Neural Networks Learn. Syst.

Publications

Amy Chan, Ian A. Wood, Jurgen Fripp
Maximum Pseudolikelihood Estimation for Mixture-Markov Random Field Segmentation of the Brain. DICTA (2016)
Hien Duy Nguyen, Ian A. Wood
A Block Successive Lower-Bound Maximization Algorithm for the Maximum Pseudo-Likelihood Estimation of Fully Visible Boltzmann Machines. Neural Comput. 28 (3) (2016)
Hien Duy Nguyen, Geoffrey J. McLachlan, Ian A. Wood
Mixtures of spatial spline regressions for clustering and classification. Comput. Stat. Data Anal. 93 (2016)
Hien Duy Nguyen, Ian A. Wood
Asymptotic Normality of the Maximum Pseudolikelihood Estimator for Fully Visible Boltzmann Machines. IEEE Trans. Neural Networks Learn. Syst. 27 (4) (2016)
Adam W. Grace, Ian A. Wood
Approximating the tail of the Anderson-Darling distribution. Comput. Stat. Data Anal. 56 (12) (2012)
Hien Duy Nguyen, Ian A. Wood
Variable selection in statistical models using population-based incremental learning with applications to genome-wide association studies. IEEE Congress on Evolutionary Computation (2012)
Suren I. Rathnayake, Ian A. Wood, Udantha R. Abeyratne, Craig Hukins
Nonlinear Features for Single-Channel Diagnosis of Sleep-Disordered Breathing Diseases. IEEE Trans. Biomed. Eng. 57 (8) (2010)
Ian A. Wood, Peter M. Visscher, Kerrie L. Mengersen
Classification based upon gene expression data: bias and precision of error rates. Bioinform. 23 (11) (2007)