Ian A. Wood

Orcid: 0000-0002-0711-8189

According to our database1, Ian A. Wood authored at least 17 papers between 2002 and 2020.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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Bibliography

2020
A Novel Mutation Operator for Variable Length Algorithms.
Proceedings of the AI 2020: Advances in Artificial Intelligence, 2020

2019
Direct Feature Evaluation in Black-Box Optimization Using Problem Transformations.
Evol. Comput., 2019

2018
A Model-Based Framework for Black-Box Problem Comparison Using Gaussian Processes.
Proceedings of the Parallel Problem Solving from Nature - PPSN XV, 2018

2016
Asymptotic Normality of the Maximum Pseudolikelihood Estimator for Fully Visible Boltzmann Machines.
IEEE Trans. Neural Networks Learn. Syst., 2016

A Block Successive Lower-Bound Maximization Algorithm for the Maximum Pseudo-Likelihood Estimation of Fully Visible Boltzmann Machines.
Neural Comput., 2016

Mixtures of spatial spline regressions for clustering and classification.
Comput. Stat. Data Anal., 2016

Maximum Pseudolikelihood Estimation for Mixture-Markov Random Field Segmentation of the Brain.
Proceedings of the 2016 International Conference on Digital Image Computing: Techniques and Applications, 2016

2013
Automated discovery of multi-faceted ontologies for accurate query answering and future semantic reasoning.
Data Knowl. Eng., 2013

2012
Approximating the tail of the Anderson-Darling distribution.
Comput. Stat. Data Anal., 2012

Variable selection in statistical models using population-based incremental learning with applications to genome-wide association studies.
Proceedings of the IEEE Congress on Evolutionary Computation, 2012

2011
Approximate Record Matching Using Hash Grams.
Proceedings of the Data Mining Workshops (ICDMW), 2011

Ontology Guided Data Linkage Framework for Discovering Meaningful Data Facts.
Proceedings of the Advanced Data Mining and Applications - 7th International Conference, 2011

2010
Nonlinear Features for Single-Channel Diagnosis of Sleep-Disordered Breathing Diseases.
IEEE Trans. Biomed. Eng., 2010

2007
Classification based upon gene expression data: bias and precision of error rates.
Bioinform., 2007

Bayesian inference in estimation of distribution algorithms.
Proceedings of the IEEE Congress on Evolutionary Computation, 2007

2003
Boltzmann machine learning: analysis and improvements
PhD thesis, 2003

2002
Empirical Evidence for Ultrametric Structure in Multi layer Perceptron Error Surfaces.
Neural Process. Lett., 2002


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