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A study on multi-scale kernel optimisation via centered kernel-target alignment
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On the use of nominal and ordinal classifiers for the discrimination of states of development in fish oocytes
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Selecting patterns and features for between-and within-crop-row weed mapping using UAV-imagery
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Semi-supervised learning for ordinal Kernel Discriminant Analysis
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A semi-supervised system for weed mapping in sunflower crops using unmanned aerial vehicles and a crop row detection method
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Data-efficient Learning of Feedback Policies from Image Pixels using Deep Dynamical Models
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Gaussian Processes for Data-Efficient Learning in Robotics and Control
Autonomous learning has been a promising direction in control and robotics for more than a decade since data-driven learning allows to …
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Kernelising the Proportional Odds Model through kernel learning techniques
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Ordinal regression methods: survey and experimental study
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Oversampling the Minority Class in the Feature Space
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