Inge Koch - researchr alias

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Viewing Publication 1 - 11 from 11

2024

A review of machine learning methods used for educational dataZara Ersozlu, Sona Taheri, Inge Koch. eait, 29(16):22125-22145, November 2024. [doi]

2019

Sparse Principal Component Analysis With Preserved Sparsity PatternAbd-Krim Seghouane, Navid Shokouhi, Inge Koch. TIP, 28(7):3274-3285, 2019. [doi]

2015

Alignment of time course gene expression data and the classification of developmentally driven genes with hidden Markov modelsSean Robinson, Garique Glonek, Inge Koch, Mark Thomas, Christopher Davies. bmcbi, 16:196, 2015. [doi]

2012

Pattern recognition based on canonical correlations in a high dimension low sample size contextMitsuru Tamatani, Inge Koch, Kanta Naito. ma, 111:350-367, 2012. [doi]

2010

Prediction of multivariate responses with a selected number of principal componentsInge Koch, Kanta Naito. csda, 54(7):1791-1807, 2010. [doi]

2008

Feature significance for multivariate kernel density estimationTarn Duong, Arianna Cowling, Inge Koch, M. P. Wand. csda, 52(9):4225-4242, 2008. [doi]

Penalised spline support vector classifiers: computational issuesJohn T. Ormerod, Matthew P. Wand, Inge Koch. cstat, 23(4):623-641, 2008. [doi]

Designing Relevant Features for Continuous Data Sets Using ICAMithun Nagendra Prasad, Arcot Sowmya, Inge Koch. ijcia, 7(4):447-468, 2008. [doi]

2007

Dimension Selection for Feature Selection and Dimension Reduction with Principal and Independent Component AnalysisInge Koch, Kanta Naito. neco, 19(2):513-545, 2007. [doi]

2004

Feature Subset Selection using ICA for Classifying Emphysema in HRCT ImagesMithun Nagendra Prasad, Arcot Sowmya, Inge Koch. icpr 2004: 515-518 [doi]

1996

Bootstrap coverage plots for image segmentationInge Koch, Gary Marshall. icpr 1996: 447-451 [doi]

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