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1

Bhar, Jane (Jane Frances) Carleton University Dissertation Management Studies. "Developing a measure of supervisor support." Ottawa, 1995.

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2

Merat, Sepehr. "Clustering Via Supervised Support Vector Machines." ScholarWorks@UNO, 2008. http://scholarworks.uno.edu/td/857.

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An SVM-based clustering algorithm is introduced that clusters data with no a priori knowledge of input classes. The algorithm initializes by first running a binary SVM classifier against a data set with each vector in the set randomly labeled. Once this initialization step is complete, the SVM confidence parameters for classification on each of the training instances can be accessed. The lowest confidence data (e.g., the worst of the mislabeled data) then has its labels switched to the other class label. The SVM is then re-run on the data set (with partly re-labeled data). The repetition
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3

Pehrson, Jakob, and Sara Lindstrand. "Support Unit Classification through Supervised Machine Learning." Thesis, KTH, Skolan för elektroteknik och datavetenskap (EECS), 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-281537.

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The purpose of this article is to evaluate the impact a supervised machine learning classification model can have on the process of internal customer support within a large digitized company. Chatbots are becoming a frequently used utility among digital services, though the true general impact is not always clear. The research is separated into the following two questions: (1) Which supervised machine learning algorithm of naïve Bayes, logistic regression, and neural networks can best predict the correct support a user needs and with what accuracy? And (2) What is the effect on the productivit
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4

Shah, Anuj R. "Improving protein remote homology detection using supervised and semi-supervised support vector machines." Online access for everyone, 2008. http://www.dissertations.wsu.edu/Dissertations/Spring2008/A_Shah_042408.pdf.

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5

Youngcourt, Satoris Sabrina. "Examination of supervisor assessments of employee work-life conflict, supervisor support, and subsequent outcomes." Texas A&M University, 2005. http://hdl.handle.net/1969.1/3180.

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Research in the work-life area has typically concerned individuals' assessments of their own conflict. The current study went beyond this by examining supervisor assessments of employee conflict and how they relate to the support given to employees. This support, traditionally measured using a unidimensional measure of support, was measured with a multidimensional measure that differentiates eight separate forms of support, including listening, emotional, emotional challenge, reality confirmation, task appreciation, task challenge, tangible assistance, and personal assistance support. Addition
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Schenkel, Aubree A. "Perceptions of Supervisor Support for Work-Life Balance." Xavier University / OhioLINK, 2011. http://rave.ohiolink.edu/etdc/view?acc_num=xavier1396713191.

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7

Yu, Chongxin Organisation &amp Management Australian School of Business UNSW. "The influences of HR effectiveness and supervisor support on workers." Awarded by:University of New South Wales. Organisation & Management, 2009. http://handle.unsw.edu.au/1959.4/44695.

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Migrant workers in China tend to suffer from inferior status and hardship in the workplace. Domestic private enterprises have become highly market-oriented and have been criticized for exploiting workers; however, some of them have started to pay increasing attention to motivating and retaining workers. The well-being of migrant workers is worthy of study. This study collected survey data from migrant workers in two Chinese private enterprises in the cosmetics industry, aiming to probe how a harmonious and supportive working environment may benefit workers. It is argued that HR???s assistance
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8

Anderson, Suzanne Michelle. "Influences of supervisor and peer support on transfer of training." CSUSB ScholarWorks, 2005. https://scholarworks.lib.csusb.edu/etd-project/2802.

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Student employees (N=86) at a major research institution participated in a new hire orientation training and then responded to questionnaires measuring ten transfer behaviors and eight work environment constructs measuring support, frequency of contact, cohesion, and general means efficacy. Supervisor ratings of trainee performance were used to measure transfer behaviors.
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9

Sucharski, Ivan Laars. "Influencing employees' generalization of support and commitment from supervisor to organization." Access to citation, abstract and download form provided by ProQuest Information and Learning Company; downloadable PDF file, 191 p, 2007. http://proquest.umi.com/pqdweb?did=1253510051&sid=2&Fmt=2&clientId=8331&RQT=309&VName=PQD.

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10

Benbrahim, Houda. "A fuzzy semi-supervised support vector machine approach to hypertext categorization." Thesis, University of Portsmouth, 2008. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.494145.

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As the web expands exponentially, the need to put some order to its content becomes apparent. Hypertext categorization, that is the automatic classification of web documents into predefined classes, came to elevate humans from that task. The extra information available in a hypertext document poses new challenges for automatic categorization. HTML tags and linked neighbourhood all provide rich information for hypertext categorization that is no available in traditional text classification.
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Mansfield, Layla Rhiannon. "Organizational Calling and Safety: the Role of Workload and Supervisor Support." PDXScholar, 2018. https://pdxscholar.library.pdx.edu/open_access_etds/4234.

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Research suggests that individuals who perceive their work as a calling (a deep passion and meaningfulness associated with a certain domain) experience a variety of positive outcomes such as occupational identification, career decidedness, and job satisfaction. Utilizing the tenets of Social Exchange Theory and the Job Demands Resources Model, I proposed that individuals with greater calling toward their occupation will report higher safety motivation and safety compliance. However, under conditions of high workload this relationship would be attenuated. Further, by the same rationale, individ
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12

Eschleman, Kevin. "THE EFFECTS OF CAUSAL ATTRIBUTIONS ON SUBORDINATE RESPONSES TO SUPERVISOR SUPPORT." Wright State University / OhioLINK, 2011. http://rave.ohiolink.edu/etdc/view?acc_num=wright1310416190.

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13

Halpern, Yonatan. "Semi-Supervised Learning for Electronic Phenotyping in Support of Precision Medicine." Thesis, New York University, 2016. http://pqdtopen.proquest.com/#viewpdf?dispub=10192124.

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<p> Medical informatics plays an important role in precision medicine, delivering the right information to the right person, at the right time. With the introduction and widespread adoption of electronic medical records, in the United States and world-wide, there is now a tremendous amount of health data available for analysis.</p><p> Electronic record phenotyping refers to the task of determining, from an electronic medical record entry, a concise descriptor of the patient, comprising of their medical history, current problems, presentation, etc. In inferring such a phenotype descriptor fro
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Han, Kun. "Supervised Speech Separation And Processing." The Ohio State University, 2014. http://rave.ohiolink.edu/etdc/view?acc_num=osu1407865723.

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15

VANCE, DANNY W. "AN ALL-ATTRIBUTES APPROACH TO SUPERVISED LEARNING." University of Cincinnati / OhioLINK, 2006. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1162335608.

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16

Whitaker, Lisa. "Employee Satisfaction with Supervisor Support: The Case of Direct Care Workers in Nursing Homes." Thesis, University of North Texas, 2017. https://digital.library.unt.edu/ark:/67531/metadc1062874/.

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The nursing home industry has been saturated for decades with culture change initiatives in an effort to improve resident quality of care. The direct care worker (DCW) is considered a critical position to achieving nursing facility quality improvements. Understanding what leads to job satisfaction for DCWs could result in improved resident care. The relationship DCWs have with their direct supervisor or upper-level manager can impact employee satisfaction. The purpose of this research is to identify factors that are associated with DCWs satisfaction with supervisor and management support. Data
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Vann, Joseph Carl. "Relationships Between Job Satisfaction, Supervisor Support, and Profitability Among Quick Service Industry Employees." ScholarWorks, 2017. https://scholarworks.waldenu.edu/dissertations/3372.

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Low profit margins threaten the sustainability of quick service restaurants (QSRs). In the United States, low levels of employee job satisfaction and low employee perceptions of supervisor support decrease organizational profitability by as much as $151 million annually, depending on the size and type of organization. Guided by the 2-factor theory of motivation, the purpose of this correlational study was to examine the relationship between employee job satisfaction, employee perceptions of supervisor support, and organizational profitability. A convenience sample of employees from 86 QSR fran
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Mohasi, Mapalo. "The relationship between family-focused organisational and supervisor support and positive work-outcomes." Master's thesis, University of Cape Town, 2010. http://hdl.handle.net/11427/10970.

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This study examined the relationship between family-focused organisational and .supervisor support and the positive work outcomes, job satisfaction, affective commitment, continuous commitment and work-family enrichment.
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Brambeck, Maria Tove Helen, and Therese Marie Helen Savmyr. "Haunted By Change : Exploring and explaining the influence of Perceived Organizational Support and Perceived Supervisor Support on Commitment to Change." Thesis, Uppsala universitet, Företagsekonomiska institutionen, 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-355009.

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The purpose of the study is to explore and explain how and why perceived support can create a sense of want to, ought to and have to change. This study investigates perceived organizational support (POS) and perceived supervisor supports (PSS) influences on the dimensions of commitment to change (C2C), affective- (AC2C), continuous- (CC2C) and normative commitment to change (NC2C). To investigate the relationships, a mix-method approach is applied. Data is yield from 168 survey respondents from three subsidiaries in Southeast Asia within a multinational corporation (MNC) and through eight inte
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Huss, Jakob. "Cross Site Product Page Classification with Supervised Machine Learning." Thesis, KTH, Skolan för datavetenskap och kommunikation (CSC), 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-189555.

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This work outlines a possible technique for identifying webpages that contain product  specifications. Using support vector machines a product web page classifier was constructed and tested with various settings. The final result for this classifier ended up being 0.958 in precision and 0.796 in recall for product pages. The scores imply that the method could be considered a valid technique in real world web classification tasks if additional features and more data were made available.
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Reia, Susana da Conceição Margarido. "Trabalho e família: aliados? Recursos laborais e recursos familiares como preditores do spillover positivo trabalho-família." Master's thesis, Universidade de Évora, 2012. http://hdl.handle.net/10174/14679.

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Consistente com o movimento da psicologia positiva e com a hipótese da expansão de papéis, a investigação sobre a interface trabalho-família tem-se debruçado progressivamente sobre os benefícios da participação simultânea no domínio familiar e profissional, consubstanciados no conceito de spillover positivo trabalho-família (T-F). Com vista a promover tais benefícios, este estudo analisa possíveis antecedentes do spillover positivo - apoio laboral e familiar. Para tal, contámos com a participação de 102 colaboradores duma organização do sector público da área da saúde, os quais preencheram e d
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Arnroth, Lukas, and Dennis Jonni Fiddler. "Supervised Learning Techniques : A comparison of the Random Forest and the Support Vector Machine." Thesis, Uppsala universitet, Statistiska institutionen, 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-274768.

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This thesis examines the performance of the support vector machine and the random forest models in the context of binary classification. The two techniques are compared and the outstanding one is used to construct a final parsimonious model. The data set consists of 33 observations and 89 biomarkers as features with no known dependent variable. The dependent variable is generated through k-means clustering, with a predefined final solution of two clusters. The training of the algorithms is performed using five-fold cross-validation repeated twenty times. The outcome of the training process rev
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Armendariz, Robert Ernesto. "What are the Benefits of Supervisor Support? Are they affected by an Employee’s Race?" The Ohio State University, 2012. http://rave.ohiolink.edu/etdc/view?acc_num=osu1336963052.

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24

Nespoli, Giuseppe. "Impact of Supervisor Support on Employee Job Satisfaction Among Fundraising Staff Within Higher Education." Thesis, Pepperdine University, 2017. http://pqdtopen.proquest.com/#viewpdf?dispub=10608404.

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<p> This study examined the nature and impact of supervisor support on employee job satisfaction among fundraising staff within higher education. Sixteen fundraisers working in higher education institutions were interviewed about supervisor support for fundraiser task needs and personal needs, participant job satisfaction and supervisor impact on it, and participant intention to stay in their jobs and the field. Participants reported satisfaction with their supervisors&rsquo; task-related and personal support, high job satisfaction, and strong intentions to stay in their jobs and the field. Ke
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25

Mann, Anna, and Olivia Höft. "Categorization of Swedish e-mails using Supervised Machine Learning." Thesis, KTH, Hälsoinformatik och logistik, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-296558.

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Society today is becoming more digitalized, and a common way of communication is to send e-mails. Currently, the company Auranest has a filtering method for categorizing e-mails, but the method is a few years old. The filter provides a classification of valuable e-mails for jobseekers, where employers can make contact. The company wants to know if the categorization can be performed with a different method and improved. The degree project aims to investigate whether the categorization can be proceeded with higher accuracy using machine learning. Three supervised machine learning algorithms, Na
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26

Normand, Eric. "A Semi-Supervised Information Extraction Framework for Large Redundant Corpora." ScholarWorks@UNO, 2008. http://scholarworks.uno.edu/td/877.

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The vast majority of text freely available on the Internet is not available in a form that computers can understand. There have been numerous approaches to automatically extract information from human- readable sources. The most successful attempts rely on vast training sets of data. Others have succeeded in extracting restricted subsets of the available information. These approaches have limited use and require domain knowledge to be coded into the application. The current thesis proposes a novel framework for Information Extraction. From large sets of documents, the system develops sta
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27

Sawers, Andrew Campbell. "The Effects of Perceived Supervisor Support, Organisational Justice and Change Management Strategies in the Context of Organisational Restructuring." Thesis, University of Canterbury. Psychology, 2011. http://hdl.handle.net/10092/5324.

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This study sought to further our understanding of the antecedents of employee perceptions of organisational justice in the context of organisational restructuring. As such, this study focussed on the previously under-researched change management practices of support for downsizing victims and organisational communication quality, and the similarly under-researched organisational justice dimensions of interpersonal and informational justice, while also hypothesising a moderating effect of perceived supervisor support between these two sets of variables. Using an online survey, a total of 234 em
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Hargell, Joanna. "Supervised Learning for Prediction of Tumour Mutational Burden." Thesis, KTH, Matematisk statistik, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-291801.

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Tumour Mutational Burden is a promising biomarker to predict response to immunotherapy. In this thesis, statistical methods of supervised learning were used to predict TMB: GLM, Decision Trees and SVM. Predictions were based on data from targeted DNA sequencing, using variants found in the exonic, intronic, UTR and intergenic regions of the human DNA. This project was of an exploratory nature, performed in a pan-cancer setting. Both regression and classification were considered. The purpose was to investigate whether variants found in these regions of the DNA sequence are useful when predictin
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Geldenhuys, Ashley. "The influence of perceived supervisor support, psychological empowerment and affective commitment on turnover intention among support staff at a selected tertiary institution in the Western Cape." University of Western Cape, 2020. http://hdl.handle.net/11394/7841.

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Magister Commercii (Industrial Psychology) - MCom(IPS)<br>Literature on turnover intentions revealed that various factors predict employee turnover intention. For higher education, the ongoing transformation that has been taking place has posed many challenges, one of them being the recruitment and retention of staff in academia. However, there is the notion that employees who experience sufficient support and acknowledgement from their supervisors are more likely to develop a sense of empowerment, thus helping in either creating or increasing feelings of commitment which could decrease turnov
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Rico-Fontalvo, Florentino Antonio. "A Decision Support Model for Personalized Cancer Treatment." Scholar Commons, 2014. https://scholarcommons.usf.edu/etd/5621.

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This work is motivated by the need of providing patients with a decision support system that facilitates the selection of the most appropriate treatment strategy in cancer treatment. Treatment options are currently subject to predetermined clinical pathways and medical expertise, but generally, do not consider the individual patient characteristics or preferences. Although genomic patient data are available, this information is rarely used in the clinical setting for real-life patient care. In the area of personalized medicine, the advancement in the fundamental understanding of cancer biology
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Gieseke, Fabian [Verfasser], and Oliver [Akademischer Betreuer] Kramer. "From supervised to unsupervised support vector machines and applications in astronomy / Fabian Gieseke. Betreuer: Oliver Kramer." Oldenburg : IBIT - Universitätsbibliothek, 2012. http://d-nb.info/1021178802/34.

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Méndez, José. "A Semi Supervised Support Vector Machine for a Recommender System : Applied to a real estate dataset." Thesis, Linköpings universitet, Statistik och maskininlärning, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-176211.

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Recommender systems are widely used in e-commerce websites to improve the buying experience of the customer. In recent years, e-commerce has been quickly expanding and its growth has been accelerated during the COVID-19 pandemic, when customers and retailers were asked to keep their distance and do lockdowns. Therefore, there is an increasing demand for items and good recommendations to the users to improve their shopping experience. In this master’s thesis a recommender system for a real-estate website is built, based on Support Vector Machines (SVM). The main characteristic of the built mode
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Hilton, Doreen Bowen. "Effects of level of supervisory support and race of supervisor on perceptions of counseling and supervision /." The Ohio State University, 1987. http://rave.ohiolink.edu/etdc/view?acc_num=osu1487267024995774.

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Salmi, Steven W. "The effects of supervisor support and client challenge on novice counselors' self-efficacy, performance and anxiety /." The Ohio State University, 1992. http://rave.ohiolink.edu/etdc/view?acc_num=osu1487780865408292.

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35

Black, James Noel. "Development of a Support-Vector-Machine-based Supervised Learning Algorithm for Land Cover Classification Using Polarimetric SAR Imagery." Thesis, Virginia Tech, 2018. http://hdl.handle.net/10919/85391.

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Land cover classification using Synthetic Aperture Radar (SAR) data has been a topic of great interest in recent literature. Food commodities output prediction through crop identification, environmental monitoring, and forest regrowth tracking are some of the many problems that can be aided by land cover classification methods. The need for fast and automated classification methods is apparent in a variety of applications involving vast amounts of SAR data. One fundamental step in any supervised learning classification algorithm is the selection and/or extraction of features present in the
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Ekambaram, Rajmadhan. "Active Cleaning of Label Noise Using Support Vector Machines." Scholar Commons, 2017. http://scholarcommons.usf.edu/etd/6830.

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Large scale datasets collected using non-expert labelers are prone to labeling errors. Errors in the given labels or label noise affect the classifier performance, classifier complexity, class proportions, etc. It may be that a relatively small, but important class needs to have all its examples identified. Typical solutions to the label noise problem involve creating classifiers that are robust or tolerant to errors in the labels, or removing the suspected examples using machine learning algorithms. Finding the label noise examples through a manual review process is largely unexplored due to
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Craddock, Richard Cameron. "Support vector classification analysis of resting state functional connectivity fMRI." Diss., Atlanta, Ga. : Georgia Institute of Technology, 2009. http://hdl.handle.net/1853/31774.

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Thesis (Ph.D)--Electrical and Computer Engineering, Georgia Institute of Technology, 2010.<br>Committee Chair: Hu, Xiaoping; Committee Co-Chair: Vachtsevanos, George; Committee Member: Butera, Robert; Committee Member: Gurbaxani, Brian; Committee Member: Mayberg, Helen; Committee Member: Yezzi, Anthony. Part of the SMARTech Electronic Thesis and Dissertation Collection.
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Lévy-Bencheton, Sandra. "L'influence du support du superviseur, du support et de la confiance organisationnels sur l'intention de quitter des employés." Thèse, 2004. http://hdl.handle.net/1866/1584.

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Blanchard, Charlotte. "Styles de soutien des superviseurs de recherche : relations avec les attitudes et le bien-être des étudiants gradués." Thèse, 2017. http://hdl.handle.net/1866/20329.

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Chen, Pei-Fan, and 程蓓芬. "The Impact of Human Resource Practices, Supervisor Support and Perceived Organizational Supporton Employee Performance." Thesis, 2014. http://ndltd.ncl.edu.tw/handle/shv4ke.

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博士<br>國立中山大學<br>人力資源管理研究所<br>103<br>This present study developed and tested a model of the interaction effects of HR practices and supervisor support on employees’ in-role performance, OCBI (organizational citizenship behavior –individual) and OCBO (organizational citizenship behavior–organization). This model predicted employees’ performance would be positively impacted by the interaction of HR practices and supervisor support through perceived organizational support (POS). A survey using time interval measurement among 539 employees from a large electronics and appliance sales company in Tai
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Tsai, Yi-Hsient, and 蔡宜諴. "The Relationships among Organizational Support, Supervisor Support And Employee Attitudes to Safety." Thesis, 2019. http://ndltd.ncl.edu.tw/handle/w6ry25.

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碩士<br>遠東科技大學<br>創新設計與創業管理研究所<br>107<br>Scholars studied the employee attitude scale in the past, but unfortunately did not verify it. To make up for this gap, this research uses the employees of the enterprises in Southern Taiwan Science-Based Industrial Park and Yongkang Industrial Park as the study objects to understand the impact the immediate supervisor support and organizational management support have on the occupational security felt by the employees. A total of 230 questionnaires were distributed in this study, of which 224 valid questionnaires were collected. This study adopts the ste
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Chinaei, Leila. "Active Learning with Semi-Supervised Support Vector Machines." Thesis, 2007. http://hdl.handle.net/10012/3071.

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A significant problem in many machine learning tasks is that it is time consuming and costly to gather the necessary labeled data for training the learning algorithm to a reasonable level of performance. In reality, it is often the case that a small amount of labeled data is available and that more unlabeled data could be labeled on demand at a cost. If the labeled data is obtained by a process outside of the control of the learner, then the learner is passive. If the learner picks the data to be labeled, then this becomes active learning. This has the advantage that the learner can pick data
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Han, Yu-Man, and 韓玉滿. "The Relationship between Supervisor Support and Job Stress." Thesis, 2009. http://ndltd.ncl.edu.tw/handle/30662640753093212648.

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碩士<br>大葉大學<br>事業經營研究所碩士在職專班<br>97<br>In the more and more competitive environment and narrower space for survival, a organization which want to achieve its objects must depend on directors’ support and members’ cooperation. When a director shows his support to his subordinates, it will affect their achievements, job satisfaction and productivity etc.. The purpose of this research is to understand the relations hip between directors’ support and job stress. This research adopted questionnaire survey and took employees in manufacturing, service trade, financial industry, insurance and nonprofi
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Yung-HangChen and 陳永航. "Semi-Supervised Support Vector Machine for Face Recognition." Thesis, 2010. http://ndltd.ncl.edu.tw/handle/33931986981605289521.

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碩士<br>國立成功大學<br>資訊工程學系碩博士班<br>98<br>Semi-supervised learning is a popular issue in the areas of pattern classification and machine learning. This issue is especially crucial in the application of face recognition. Traditional classifiers are trained by only using the labeled data. However, the labeled samples are often difficult, expensive, or time consuming to be collected since a lot of efforts should be involved from experienced human annotators. Semi-supervised learning addresses this problem by using large amount of unlabeled data, together with a limited amount of labeled data, to build
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Chang, Wan-Chen, and 張婉真. "The Relationships among Supervisor Perceived Organizational Support, Supervisor Responsiveness and Employee Organizational Citizenship Behavior." Thesis, 2016. http://ndltd.ncl.edu.tw/handle/66306833255812822468.

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碩士<br>國立中央大學<br>人力資源管理研究所在職專班<br>104<br>Abstract Title: The Relationships among Supervisor Perceived Organizational Support, Supervisor Responsiveness and Employee Organizational Citizenship Behavior. Previous researches about the relationships between perceived organizational support and organizational citizenship behavior were mainly based on employee’s point of view. This study tends to discuss the “trickle - down effect”, which assumes supervisors perceived organizational support will affect his or her leadership to perform positive responsiveness to their subordinates. Moreover, when the
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Yu, Hsiao-Yu, and 游曉郁. "Leadership and Subordinates' Effectiveness: Perceived Organizational Support and Perceived Supervisor Support Mediating Effect." Thesis, 2005. http://ndltd.ncl.edu.tw/handle/97454718224602838694.

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碩士<br>國立中正大學<br>心理學所<br>94<br>Previous leadership behavior studies focus on the relationship between different type of leaderships and their performance. However, there is lack of description of the relationship between leadership and subordinates’ effectiveness. In this study, we used social exchange theory as the framework to discuss, with the interaction between leadership and employees, how employees’ perception of supervisor support (PSS) and perceived organizational support (POS) can affect their organizational commitment, organizational citizenship behavior, supervisor loyalty and job
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Kang, Chia-Han, and 康佳涵. "The Influence of Supervisors’ Perceived Organizational Support and Personality on Subordinates’ Perceived Supervisor Support." Thesis, 2019. http://ndltd.ncl.edu.tw/cgi-bin/gs32/gsweb.cgi/login?o=dnclcdr&s=id=%22107NCHU5457104%22.&searchmode=basic.

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碩士<br>國立中興大學<br>高階經理人碩士在職專班<br>107<br>In the organization, the supervisors play a very important role in interpersonal interaction. It is an important issue that the supervisor is willing to give subordinate support and care when they encounter difficulties. This study is explored the relation between supervisors’ perceived organizational support and subordinates’ perceived supervisor support which based on social exchange theory. According to the five-factor model proposed by Costa & McCrae (1985), the study is discussed three traits agreeableness, extraversion and neuroticism which the relev
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Shu-YiChuang and 莊淑怡. "Similarity between Supervisor and Employee, LMX and Supervisory mentoring support." Thesis, 2012. http://ndltd.ncl.edu.tw/handle/18881868704069909888.

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碩士<br>國立成功大學<br>企業管理學系專班<br>101<br>Living in a highly competitive environment, our career development has shifted from linear and stable to boundaryless and unpredictable. Therefore, we need to have the flexibility to adapt and learn quickly. Relationships are one of the most valuable resources for career development, and supervisory mentors are key source of stability in assisting individuals to successfully adapt to career challenges. Not all mentoring relationships work successfully, this study tried to examine the factors which affect supervisory mentoring support. This study collected dat
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Soulen, Sarah K. "Organizational commitment, perceived supervisor support, and performance a field study /." 2003. http://etd.utk.edu/2003/SoulenSarah.pdf.

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Thesis (M.A.)--University of Tennessee, Knoxville, 2003.<br>Title from title page screen (viewed Sept. 15, 2003). Thesis advisor: Eric Sundstrom. Document formatted into pages (v, 54 p. : ill.). Vita. Includes bibliographical references (p. 39-47).
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Hsu, Chong-Luen, and 徐崇倫. "Semi-supervised Support Vector Machine in Parallel Embedded System TK1." Thesis, 2015. http://ndltd.ncl.edu.tw/handle/97g4qh.

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碩士<br>國立臺北科技大學<br>電機工程研究所<br>103<br>In this article, a Semi-Supervised SVM will be promoted to analyze and classify dataset in Pattern Recognition, CUDA will be implemented for decreasing cost time in the most time-consuming part of the procedure, to achieve the goal to accelerate the whole operating time. In the process, samples which were classified by SVM will qualify as samples which move to training sample set from test sample set according to the results of decision functions from classifiers, these chosen samples will pass through KNN to filter samples, then achieve the goal for increas
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