Background An online self-management training “Living with food allergy” has been developed for patients with a doctor’s diagnosed food allergy (FA) to increase patient’s selfmanagement. A multidisciplinary team for food allergy developed the training. The online training consists of information, video’s, patient’s stories and exercises with feedback. The modules are “What is FA”; “How is it di...

Parallel corpus is an indispensable resource for translation model training in statistical machine translation (SMT). Instead of collecting more and more parallel training corpora, this paper aims to improve SMT performance by exploiting full potential of the existing parallel corpora. Two kinds of methods are proposed: offline data optimization and online model optimization. The offline method...

The chapter presents a case study of a training course involving Italian early-secondary school teachers, which focuses on online tutors’ activities and roles. After a brief literature review, it relates the topic to the national e-learning training context, clarifying the tutors’ expected tasks within the evaluated teachers’ professional training experience. The aim is to analyze the roles pla...

In view of the characteristics of the rural labor force in China, a remote training system for small towns is developed based on B/S architecture and MVC model by using object-oriented and JSP technology on the Java J2EE platform. The system is designed to be used by administrator, training enterprise and individuals. The administrator can manage the website, permission assignment and maintain ...

Many online applications, such as online social networks or knowledge bases, are often attacked bymalicious users who commit different types of actions such as vandalism on Wikipedia or fraudulent reviews on eBay. Currently, most of the fraud detection approaches require a training dataset that contains records of both benign and malicious users. However, in practice, there are often no or very...

The purpose of the study was to determine if the Training Partner Program was successful in preparing trainers to use a new distance learning platform. Results indicate the program was a success in improving self-efficacy, engagement, and collaboration among trainers. Additionally, characteristics of online trainers are identified. Online learning in higher education, business training, and ele...

We propose an online learning algorithm for large margin training of continuous density hidden Markov models. The online algorithm updates the model parameters incrementally after the decoding of each training utterance. For large margin training, the algorithm attempts to separate the log-likelihoods of correct and incorrect transcriptions by an amount proportional to their Hamming distance. W...

We present a joint model for Chinese word segmentation and new word detection. We present high dimensional new features, including word-based features and enriched edge (label-transition) features, for the joint modeling. As we know, training a word segmentation system on large-scale datasets is already costly. In our case, adding high dimensional new features will further slow down the trainin...

BACKGROUND E-learning is a common and popular mode of educational delivery, but little is known about its effectiveness in teaching practical skills. The aim of this study was to determine whether the Physiotherapy eSkills Training Online resource in addition to usual teaching improved the performance of practical skills in physiotherapy students. METHOD This study was a non-randomised contro...