Photovoltaic (PV) technologies have attracted great interest due to their capability of
generating electricity directly from sunlight. Machine learning (ML) is a technique for …

Cross-validation is one of the important tools in machine learning, which is generally used
for performance evaluation. It uses different portions of the data to test and train a model on …

This study aims to propose four Machine Learning methods of Gaussian process regression
(GPR), support vector regression (SVR), decision trees (DT), and K-nearest neighbors …

Hypothesis transfer learning (HTL) contrasts domain adaptation by allowing for a previous
task leverage, named the source, into a new one, the target, without requiring access to the …

Background Compensatory movements are commonly employed by stroke survivors during
seated reaching and may have negative effects on their long-term recovery. Detecting …

Cross-validation (CV) is a widely used technique in machine learning pipelines. However,
some of its drawbacks have been recognized in the last decades. In particular, CV may …

We study the effect of imperfect training data labels on the performance of classification
methods. In a general setting, where the probability that an observation in the training …

We derive a new asymptotic expansion for the global excess risk of a local-k-nearest
neighbour classifier, where the choice of k may depend upon the test point. This expansion …

Contralateral controlled functional electrical stimulation (CCFES) can induce simultaneous
movements in patients' bilateral hands. It has been clinically proven to be effective in …

The assessment of spasticity under voluntary movement is helpful for the therapist to
comprehensively assess the patient's dyskinesia. However, current researches focus on …