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Leadership is like fine wine: It is meant to be shared, globally
(Elsevier, 2014)The overwhelming majority of leadership theory and research has been developed in North America. Having said that, it cannot be overstated that we are living in an ever more tightly connected global economy. Appropriately, ... -
Leading effect of visual plant characteristics for functional uses of green spaces
(Istanbul University Faculty of Forestry, 2016)Plant materials have the ability to lead the people’s functional use purposes with their visual characteristics. In this study, we examined whether the functional use follows the plant materials’ visual characteristics ... -
League scheduling and game bundling in sports industry
(Elsevier, 2014-08)Most sport clubs offer season tickets first and they allow purchasing single tickets at a later date. There are several decision problems within this context; the determination of the optimal time at which the switch from ... -
Learning and knowledge in early internationalization research: past accomplishments and future directions
(Elsevier, 2012-01)This article provides an evaluative overview of international entrepreneurship literature, in which the issues of learning and knowledge feature as central components underlying the causes, processes, and outcomes of early ... -
Learning and reasoning in complex coalition information environments: a critical analysis
(IEEE, 2018-09-05)In this paper we provide a critical analysis with metrics that will inform guidelines for designing distributed systems for Collective Situational Understanding (CSU). CSU requires both collective insight - i.e., accurate ... -
Learning from experience in nonlinear environments: Evidence from a competition scenario
(Elsevier, 2015-09)We test people’s ability to learn to estimate a criterion (probability of success in a competition scenario) that requires aggregating information in a nonlinear manner. The learning environments faced by experimental ... -
Learning from vernacular architecture in architectural education
(Yıldız Teknik Üniversitesi, 2020)This study focuses on the potential for effectively using knowledge about vernacular architecture in programs of architectural education and it proposes a course as a mean of doing so. The first section emphasizes the ... -
Learning in discrete-time average-cost mean-field games
(IEEE, 2021)In this paper, we consider learning of discrete-time mean-field games under an average cost criterion. We propose a Q-iteration algorithm via Banach Fixed Point Theorem to compute the mean-field equilibrium when the model ... -
Learning mean-field games with discounted and average costs
(Microtome Publishing, 2023)We consider learning approximate Nash equilibria for discrete-time mean-field games with stochastic nonlinear state dynamics subject to both average and discounted costs. To this end, we introduce a mean-field equilibrium ... -
Learning medical suturing primitives for autonomous suturing
(IEEE, 2021)This paper focuses on a learning from demonstration approach for autonomous medical suturing. A conditional neural network is used to learn and generate suturing primitives trajectories which were conditioned on desired ... -
Learning portfolio (LP) to enhance constructivism and student autonomy
(Elsevier, 2010)A learning portfolio (LP) can be broadly defined as a purposeful collection of student work that exhibits the student's efforts, progress and achievements (Smith & Tillema, 1998). At Preparatory Program at Ozyegin University ... -
‘Learning portfolio’ to enhance constructivism and student autonomy
(2010)At Ozyegin University (OzU), a new evaluation system is being implemented. In this talk, the components of LP practice at OzU will be presented, relating the process to the principles of constructivism and learner autonomy. ... -
Learning system dynamics via deep recurrent and conditional neural systems
(IEEE, 2021)Although there are various mathematical methods for modeling system dynamics, more general solutions can be achieved using deep learning based on data. Alternative deep learning methods are presented in parallel with the ... -
Learning to exploit passive compliance for energy-efficient gait generation on a compliant humanoid
(Springer Nature, 2019-01)Modern humanoid robots include not only active compliance but also passive compliance. Apart from improved safety and dependability, availability of passive elements, such as springs, opens up new possibilities for improving ... -
Learning to grasp with parental scaffolding
(IEEE, 2011)Parental scaffolding is an important mechanism utilized by infants during their development. Infants, for example, pay stronger attention to the features of objects highlighted by parents and learn the way of manipulating ... -
A learning-based dependency to constituency conversion algorithm for the turkish language
(European Language Resources Association (ELRA), 2022)This study aims to create the very first dependency-to-constituency conversion algorithm optimised for Turkish language. For this purpose, a state-of-the-art morphologic analyser (Yıldız et al., 2019) and a feature-based ... -
Least-cost influence maximization on social networks
(Informs, 2020-03)Viral-marketing strategies are of significant interest in the online economy. Roughly, in these problems, one seeks to identify which individuals to strategically target in a social network so that a given proportion of ... -
Legal pluralism and the Shari'a: a comparison of Greece and Turkey
(Wiley, 2014-08)The creation of a national and unified legal system was an important aspect of the rise of the modern state and national citizenship. However, this interpretation of legal rationalization has been challenged by sociologists ... -
Legislative, institutional and political context
(Springer, 2023)Refugee governance has legislative, institutional, political, and discursive dimensions. These components co-constitute each other and reflect the fragments of strategic temporality as a building principal. It is possible ... -
Leman’ın dostu
(1922-04)
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