Data-driven modelling is the area of hydroinformatics undergoing fast development. This chapter reviews the main concepts and approaches of data-driven modelling, which is based on computational intelligence and machine-learning methods. A brief overview of the main methods – neural networks, fuzzy rule-based systems and genetic algorithms, and their combination via committee approaches – is pr...

selecting an appropriate manufacturing machine is a very important and complex problem for firms, which usually have to deal with both qualitative and quantitative criteria. taking into account the differences among machines in terms of cost, speed, quality and after sale services, type and number of machines are important parameters to consider. therefore, the goal of this paper is to propose ...

As supervised machine learning methods are increasingly used in language technology, the need for high-quality annotated language data becomes imminent. Active learning (AL) is a means to alleviate the burden of annotation. This paper addresses the problem of knowing when to stop the AL process without having the human annotator make an explicit decision on the matter. We propose and evaluate a...

As the epidemiology of measles evolves and new data become available, it is essential to review the current vaccination policy and make any necessary adjustments. The result of such a review process is the following new statement on the recommended use of measles vaccine in Canada issued by the National Advisory Committee on Immunization. There may be further changes in the future as more data ...

Accurate daily peak load forecasts are important for secure and profitable operation of modern power utilities, with deregulation and competition demanding ever-increasing accuracies. Machine learning techniques including neural and abductive networks have been used for this purpose. Network committees have been proposed for improving regression and classification accuracy in many disciplines, ...

The Residency Review and Redesign Project (RP), a 4-year study of pediatrics training supported by the American Board of Pediatrics (ABP) Foundation, concluded with recommendations to develop a process to foster ongoing innovation in education rather than a product such as a curriculum that could quickly become outdated. To that end, the ABP began funding the Initiative for Innovation in Pediat...

The Experts Advisory Committee on Immunization Program (EACIP) of China was founded in 1982, and currently consists of 33 experts in immunization and related fields, selected by the Ministry of Health, to provide advice and guidance on the control of vaccine-preventable diseases. The main tasks of the EACIP are to advise on the national immunization schedule, to participate in the drafting and ...

The Advisory Committee on Immunization Practice (ACIP) of Thailand, established nearly 40 years ago and currently consisting of 28 experts in immunization and related fields, develops written recommendations to the Ministry of Public Health (MoPH) regarding vaccines and immunization. Through careful review of available scientific data, compiled and analyzed by Working Groups set up to examine s...