Learning Analytics (LA) has a major interest in exploring and understanding the learning process of humans and, for this purpose, benefits from both Cognitive Science, which studies how humans learn, and Machine Learning, which studies how algorithms learn from data. Usually, Machine Learning is ...
to save best models (by validation score)EarlyStopping: stops the training if no progress is done (by validation score)TerminateOnNan: stops the training if NaN is encounteredOptimizer Parameters Scheduling: concatenate, add a warm-up, setup linear or cosine annealing, linear ...
Conformity assessment procedures will require AI systems: (1) to be transparent, (2) not to rely decisions solely on algorithms, or (3) to include safety assurance cases in the documentation to facilitate technical audit. We are interested here in obtaining transparency in the case of machine ...
We introduce a case study for the causal analysis of the performance of two state-of-the-art algorithms for the one-dimensional Bin Packing Problem (BPP). We meticulously selected the set of features associated with the parameters that define the instances of the problem. Subsequently, we ...