In language modeling we are always confronted with a sparse data problem. The Maximum Entropy formalism allows to fully integrate complementary statistical properties of limited corpora. The focus of the present paper is twofold. The new smoothing technique of LM-induced marginals is introduced and discussed. We then highlight the advantages resulting from a combination of robust features and s...

We examined the influence of extensive overtraining (75 trials) on the impact of neurotoxic basolateral amygdala (BLA) lesions on Pavlovian fear conditioning in rats. As we have shown previously, pretraining BLA lesions yielded severe deficits in the acquisition of conditional freezing in rats trained with either 1 or 25 conditioning trials. However, extensive overtraining (50 or 75 trials) mit...

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 ...