Although hypnosis has been used for centuries, there are few reports of systematic, professional training. The most thorough codification of instructional content is the Standards of Training in Clinical Hypnosis (SOTCH) (Elkins & Hammond, 1994), endorsed by The American Society of Clinical Hypnosis (ASCH), and The Society of Clinical and Experimental Hypnosis (SCEH) for annual workshops. This ...

JDMS, Volume 2, Issue 3, July 2005 Pages 145–160 © 2005 The Society for Modeling and Simulation International It is widely accepted that acquisition of the knowledge behind military tactics has been one limiting factor in the development of computer generated forces (CGF) for training simulations. This has been addressed by several researchers with varying degrees of success. A system capable o...

Adversarial training has been shown to regularize deep neural networks in addition to increasing their robustness to adversarial examples. However, its impact on very deep state of the art networks has not been fully investigated. In this paper, we present an efficient approach to perform adversarial training by perturbing intermediate layer activations and study the use of such perturbations a...

Neurules are a kind of hybrid rules that combine a symbolic (production rules) and a connectionist (adaline unit) representation. One way that the neurules can be produced is from training examples/patterns, extracted from empirical data. However, in certain application fields not all of the training examples are available a priori. A number of them become available over time. In those cases, u...

Training and objective assessment of surgical competency receives more and more attention from society and medical communities, and is an ongoing research challenge. For obvious reasons of patient safety, ethics, and cost-effectiveness, there is a need to shift the training and assessment from the operating theatre to a simulated environment (e.g. skills lab). This paper presents the state of t...

Ensemble methods often produce effective classifiers by learning a set of base classifiers from a diverse collection of the training sets. In this paper, we present a system, voting on classifications from imputed learning sets (VCI), that produces those diverse training sets by randomly removing a small percentage of attribute values from the original training set, and then using an imputation...

Heart rhythm (HR) management is rapidly developing as a subspecialty within cardiology, and it is imperative to promote and ensure sufficient and homogeneous training and qualification amongst professionals in Europe. This has led the European Society of Cardiology, through the European Heart Rhythm Association (EHRA), to organize a European Core Curriculum for the HR specialist through the fol...

Heart rhythm (HR) management is rapidly developing as a subspecialty within cardiology and it is imperative to promote and ensure sufficient and homogeneous training and qualification among professionals in Europe. This encouraged the European Society of Cardiology, through the European Heart Rhythm Association (EHRA), to organize a European Core Curriculum for the HR specialist through the fol...

The American Medical Society for Sports Medicine recognises a need to provide direction and continually enhance the quality of sports medicine fellowship training programmes. This document was developed to be an educational resource for sports medicine physicians who teach in a 1-year primary care sports medicine fellowship training programme. It is meant to provide high standards and targets f...

This article aims to establish a parallel between the organizational models and the didactic architectures used by businesses to manage internal training. The objective is to understand whether so-called "eLearning 2.0" (eLearning based on the tools and approaches typical of web 2.0) can be useful in different frameworks and organisations. In this context, the paper looks at whether it is possi...