This paper presents a novel approach to the analysis of the overtraining phenomenon in pattern classiiers. A nonlinearity measure N is introduced which relates the shape of the classiication function to the generalization capability of a classiier. Experiments using the k-nearest neighbour rule, a neural classiier and the quadratic classiier show that the introduced measure N can be used to stu...

The overtraining syndrome affects mainly endurance athletes. It is a condition of chronic fatigue, underperformance, and an increased vulnerability to infection leading to recurrent infections. It is not yet known exactly how the stress of hard training and competition leads to the observed spectrum of symptoms. Psychological, endocrinogical, physiological, and immunological factors all play a ...

Introduction Rowers in their first year of competition have a high risk of overtraining, caused by a disbalance in training load and recovery. A typical week in the rowing season consists of 5-8 training sessions, and many first year (“freshmen”) rowers have little previous experience in competitive sports. The risk is further increased by the fact that personalization of training load is diffi...

This paper proposes boosting-like deep learning (BDL) framework for pedestrian detection. Due to overtraining on the limited training samples, overfitting is a major problem of deep learning. We incorporate a boosting-like technique into deep learning to weigh the training samples, and thus prevent overtraining in the iterative process. We theoretically give the details of derivation of our alg...

Abstract In geotechnical engineering, transformation models are often used as first estimates of parameters and to verify the order magnitude field laboratory tests, which reliability might be constrained by many uncertainties. The undrained shear strength has been for long particular interest such models. traditional rather simple. Still, community does not seem have agreed upon use. particula...

The article examines the effect on heart rate variability (HRV) indices in athletes depending training status, different types of physical exertion, gender and age, presented both cross-sectional longitudinal studies. Also included is predictability HRV during overtraining, athletic condition, performance. Heart has long been used as a diagnostic marker overexertion overtraining. A large body e...

We perform an average case analysis of the generalization dynamics of large neural networks trained using gradient descent. We study the practically-relevant “high-dimensional” regime where the number of free parameters in the network is on the order of or even larger than the number of examples in the dataset. Using random matrix theory and exact solutions in linear models, we derive the gener...