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Adaptive structure metrics for automated feedback provision in Java programming
Today's learning supporting systems for programming mostly rely on pre-coded feedback provision, such that their applicability is restricted to modelled tasks. In this contribution, we investigateExpand
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An EM transfer learning algorithm with applications in bionic hand prostheses
Modern bionic hand prostheses feature unprecedented functionality, permitting motion in multiple degrees of freedom (DoFs). However, conventional user interfaces allow for contolling only one DoF atExpand
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Convergence of Multi-pass Large Margin Nearest Neighbor Metric Learning
Large margin nearest neighbor classification (LMNN) is a popular technique to learn a metric that improves the accuracy of a simple k-nearest neighbor classifier via a convex optimization scheme.Expand
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Local Reject Option for Deterministic Multi-class SVM
Classification with reject option allows classifiers to abstain from the classification of unclear cases. While it has been shown that global reject options are optimal for probabilistic classifiers,Expand
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Gaussian process prediction for time series of structured data
Time series prediction constitutes a classic topic in machine learning with wide-ranging applications, but mostly restricted to the domain of vectorial sequence entries. In recent years, time seriesExpand
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Ontology-based Extraction of Structured Information from Publications on Preclinical Experiments for Spinal Cord Injury Treatments
Preclinical research in the field of central nervous system trauma advances at a fast pace, currently yielding over 8,000 new publications per year, at an exponentially growing rate. This amount ofExpand
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Reservoir memory machines
In recent years, Neural Turing Machines have gathered attention by joining the flexibility of neural networks with the computational capabilities of Turing machines. However, Neural Turing MachinesExpand
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Echo State Networks for Low-Cost Myoelectric Prosthesis Control
Myoelectric signals (EMG) provide an intuitive and rapid interface for controlling technical devices, in particular bionic arm prostheses. However, inferring the intended movement from a surface EMGExpand
Reservoir Memory Machines as Neural Computers
Differentiable neural computers extend artificial neural networks with an explicit memory without interference, thus enabling the model to perform classic computation tasks such as graph traversal.Expand