In this paper we are examining the issue of overtraining in Fuzzy ARTMAP. Over-training in Fuzzy ARTMAP manifests itself in two different ways: (a) it degrades the generalization performance of Fuzzy ARTMAP as training progresses, and (b) it creates unnecessarily large Fuzzy ARTMAP neural network architectures. In this work we are demonstrating that overtraining happens in Fuzzy ARTMAP and we p...

This paper presents a speaker identification system based on Gaussian Mixture Models (GMM) using the variational Bayesian method. Maximum Likelihood (ML) and Maximum A Posterior (MAP) are well-known methods for estimating GMM parameters. However, the overtraining problem occurs with insufficient data due to a point estimate of model parameters. The Bayesian approach estimates a posterior distri...

Monitoring vital signs in athletes, mainly during training, is of crucial importance for both the athlete and the coach, in order to avoid overtraining. Overtraining is an extreme state of fatigue that forces athletes to rest for several weeks having a negative impact on athlete’s performance, health, and daily life. A wireless sensor network (WSN) combines embedded computing technology with co...

Two experiments with turtles (Geoclemys reevesii) examined the overtrain ing extinction effect (OEE) and the overtraining reversal effect (ORE), under massed train ing conditions. In Experiment 1, three g roups of turtles received 7, 14, or 21 sessions of training in a runway situation for food reinforcement, followed by 15 se ssions of extinction. Extinction was faster, the greater the number ...

The importance of discrimination shifts to learning and developmental psychology is highlighted. Basic tasks used in continuous and total change paradigms are presented, and major theoretical accounts are briefly reviewed. The lack of a general and comprehensive interpretation of human shift learning is identified, and a recent model based on neural network research is described. This model sug...

In this paper we are examining the issue of overtraining in Fuuy ARTMAP. Over-training in Fuuy ARTMAP manifests itself in two different ways: (a) it degrades the generalization performance of Fuzzy ARTMAP as training progresses, and (b) it creates unnecessarily large Fuuy ARTMAP neural network architectures. In this work we are demonstrating that overtraining happens in Fuuy ARTMAP and we propo...

Overuse is one of the most common etiologic factors that lead to injuries in the pediatric and adolescent athlete. As more children are becoming involved in organized and recreational athletics, the incidence of overuse injuries is increasing. Many children are participating in sports year-round and sometimes on multiple teams simultaneously. This overtraining can lead to burnout, which may hav...