Search results for "support"
showing 10 items of 2310 documents
Learning non-linear time-scales with kernel -filters
2009
A family of kernel methods, based on the @c-filter structure, is presented for non-linear system identification and time series prediction. The kernel trick allows us to develop the natural non-linear extension of the (linear) support vector machine (SVM) @c-filter [G. Camps-Valls, M. Martinez-Ramon, J.L. Rojo-Alvarez, E. Soria-Olivas, Robust @c-filter using support vector machines, Neurocomput. J. 62(12) (2004) 493-499.], but this approach yields a rigid system model without non-linear cross relation between time-scales. Several functional analysis properties allow us to develop a full, principled family of kernel @c-filters. The improved performance in several application examples suggest…
Robust γ-filter using support vector machines
2009
This Letter presents a new approach to time-series modelling using the support vector machines (SVM). Although the g-filter can provide stability in several time-series models, the SVM is proposed here to provide robustness in the estimation of the g-filter coefficients. Examples in chaotic time-series prediction and channel equalization show the advantages of the joint SVM g-filter. Teoría de la Señal y Comunicaciones
eHealth Initiatives for The Promotion of Healthy Lifestyle and Allied Implementation Difficulties
2019
Research in eHealth has opened a new dimension to improve personal healthcare with the help of information and communication technologies (ICT). eHealth is an ‘umbrella term’ for the use of ICT for health. Remote care-giving technologies (mHealth, Telehealth, Telemedicine) are an extended branch of eHealth initiatives. The concept of health e- Coaching is another promising initiative of eHealth research for real-time personalized lifestyle support. The focus of eHealth initiatives is to deliver high quality, evidence-based, secure, cost- effective, timely care to support people for sustaining a healthy lifestyle. However, the practical implementation of different eHealth initiatives has oft…
HCI for biomedical decision-making: From diagnosis to therapy.
2020
Abstract Human-Computer Interaction (HCI) plays a fundamental role in the design of software oriented towards clinical decision-making tasks. Currently, physicians have to deal with an ensemble of systems and software tools in the clinical environment, such as clinical Decision Support Systems (CDSSs), Electronic Health Records (EHRs), Picture Archiving and Communication Systems (PACSs). Moreover, additional platforms aim at collaborative work particularly in telemedicine, where rehabilitation technologies and conversational agents can support the healthcare professionals.
Decision support system for telemedicine based on multiple expertise
2002
This paper discusses results of the research in the area of artificial intelligence applications in telemedicine. The main goal of research is to manage multiple expertise obtained from experts-physicians in different countries to develop decision support medical system of broad earmarking based on telecommunication tools. The multilevel representation of medical data is discussed based on the apparatus of metastatistics. The technique is able to acquire semantically essential information from complex dynamics of quasi-periodical medical signals by applying recursively ordinary statistical tools. The voting-type technique is used to find consensus among medical experts in their description …
Temporary workers: the role of Corporate Image on Work Engagement
2012
Introduction: A great deal of attention has been given recently on relations between the employees and organization: if this relation is not healthy, it decreases the likelihood of turnover (European Agency for Safety and Health at Work, 2009); employers are unlikely to invest in organizational commitment and motivation to work for temporary workers (Allen, Meyer, 1990; Becker, 1993; Amuedo-Dorantes, 2000; De Cuyper et al., 2008). In order to be successful, organizations should strategically aim to fit the individual values with corporate values (Bellotto, 1997). Value conflicts decrease employees' involvement in their work. Employees experience a de-motivating situation in which they are d…
Self-esteem and Occupational Self-efficacy as Mediators of the Associations between Perceived Organizational Support, Work Engagement and Job Satisfa…
2012
Introduction: Previous research has documented greater vulnerability and exposure to stress among temporary workers due to labor uncertainty, especially in cases where temporary workers are considered peripheral workers in whom employers are unlikely to invest foster long-term organizational commitment and motivation to work (Becker, 1993; Amuedo-Dorantes 2000; De Cuyper & De Nitte, 2005; De Cuyper at al., 2008). Many characteristics of temporary employment adds to the vulnerability of temporary workers: poor job characteristics, highly monotonous work (Hall 2006), lower influence on workplace decisions (Aronsson et al. 2002; Parker et al. 2002), lower job satisfaction and lower organizatio…
Recyclable Heterogeneous and Low-Loading Homogeneous Chiral Imidazolidinone Catalysts for α-Alkylation of Aldehydes
2014
Two polystyrene-supported and six homogeneous MacMillan imidazolidinone catalysts were prepared and tested for the asymmetric α-alkylation of propanal with benzodithiolylium tetrafluoroborate. The chiral imidazolidinone was linked to polystyrene through the N-3 atom or through the phenyl ring and their catalytic activity was compared with that of their unsupported precursors. This comparison has allowed us to find an unsupported catalyst that displays high catalytic activity down to 5 or 2 mol % at room temperature with a high level of enantioselectivity also when used with hexanal and 3-phenylpropanal. In addition, one of the heterogeneous materials was revealed to be highly recyclable for…
Reflection Assignment as a Tool to Support Students’ Metacognitive Awareness in the Context of Computer-Supported Collaborative Learning
2021
The present study explores the potential of a reflection assignment as a tool for supporting master’s degree students’ metacognitive skills in the context of computer-supported collaborative learning (CSCL). The research question (RQ) is formulated as follows: How does a regularly submitted reflection assignment support the development of students’ individual metacognitive awareness in the context of CSCL? The empirical data is a text corpus (7878 words) extracted from individual students’ (N = 13) reflection assignments (N = 65) submitted during one semester. Qualitative content analysis was employed to analyze the data. The results demonstrate that by the end of the course, the students s…
Aspects Concerning SVM Method’s Scalability
2008
In the last years the quantity of text documents is increasing continually and automatic document classification is an important challenge. In the text document classification the training step is essential in obtaining a good classifier. The quality of learning depends on the dimension of the training data. When working with huge learning data sets, problems regarding the training time that increases exponentially are occurring. In this paper we are presenting a method that allows working with huge data sets into the training step without increasing exponentially the training time and without significantly decreasing the classification accuracy.