Browsing by Keywords "Learning"
Now showing items 1-20 of 24
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Aging wireless bandits: regret analysis and order-optimal learning algorithm
(IEEE, 2021-11-13)We consider a single-hop wireless network with sources transmitting time-sensitive information to the destination over multiple unreliable channels. Packets from each source are generated according to a stochastic process ... -
Announcements and credibility under inflation targeting
(Elsevier BV, 2008)We inspect how inflation target announcements are instrumental in building central bank credibility and shaping inflation expectations. Investigating the role of announcements by using a time varying credibility measure, ... -
Contextual learning for unit commitment with renewable energy sources
(IEEE, 2017)In this paper, we study a unit commitment (UC) problem minimizing operating costs of the power system with renewable energy sources. We develop a contextual learning algorithm for UC (CLUC) which learns which UC schedule ... -
Developing empathy towards older adults in design
(Routledge, 2017-02-06)In design disciplines, an affective understanding of users’ everyday lives can increase designer sensitivity and awareness, leading to higher-quality design outcomes. Developing students’ empathic understanding within ... -
Dopamine replacement therapy, learning and reward prediction in Parkinson’s disease: Implications for rehabilitation
(Frontiers Research Foundation, 2016)The principal feature of Parkinson’s disease (PD) is the impaired ability to acquire and express habitual-automatic actions due to the loss of dopamine in the dorsolateral striatum, the region of the basal ganglia associated ... -
An exploratory study on the value of service learning projects and their impact on community service involvement and critical thinking
(2007)Purpose - This exploratory study attempts to capture some of the principal benefits/factors attributable to service learning/community service projects, from a student perspective. Design/methodology/approach - A sample ... -
From hate to love: how learning can change affective responses to touched materials
(Springer Science and Business Media Deutschland GmbH, 2020)People display systematic affective reactions to specific properties of touched materials. For example, granular materials such as fine sand feel pleasant, while rough materials feel unpleasant. We wondered how far such ... -
Jamming bandits-a novel learning method for optimal jamming
(Institute of Electrical and Electronics Engineers Inc., 2016)Can an intelligent jammer learn and adapt to unknown environments in an electronic warfare-type scenario? In this paper, we answer this question in the positive, by developing a cognitive jammer that adaptively and optimally ... -
Learning by imitation
(Elsevier BV, 1999)This paper introduces a learning algorithm that allows for imitation in recursive dynamic games. The Kiyotaki-Wright model of money is a well-known example of such decision environments. In this context, learning by ... -
Learning the optimum as a Nash equilibrium
(Elsevier BV, 2000)This paper shows the computational benefits of a game theoretic approach to optimization of high dimensional control problems. A dynamic noncooperative game framework is adopted to partition the control space and to search ... -
Learning without knowing
(1988) -
Learning, inflation, and the Phillips Curve
(Bilkent University, 2000)The Replicator Dynamics of Evolutionary Game Theory is introduced in a closed economy so as to model how a continuum of firms evolve over time with respect to the pricing strategies. Incorporation- of Replicator Dynamics ... -
A model of boundedly rational learning in dynamic games
(Bilkent University, 1997)There are various computer-based algorithms about boundedly rational players’ learning how to behave in dynamic games, including classifier systems, genetic algorithms and neural networks. Some examples of studies using ... -
Neural network-based target differentiation using sonar for robotics applications
(IEEE, 2000-08)This study investigates the processing of sonar signals using neural networks for robust differentiation of commonly encountered features in indoor robot environments. The neural network can differentiate more targets with ... -
Neural networks for improved target differentiation and localization with sonar
(Pergamon Press, 2001)This study investigates the processing of sonar signals using neural networks for robust differentiation of commonly encountered features in indoor robot environments. Differentiation of such features is of interest for ... -
Novel object recognition is not affected by age despite age-related brain changes
(Scientific Research Publishing, 2013)Age-related memory impairments show a progressive decline across lifespan. Studies have demonstrated equivocal results in biological and behavioral outcomes of aging. Thus, in the present study we examined the novel object ... -
Odour intensity learning in fruit flies
(2009)Animals' behaviour towards odours depends on both odour quality and odour intensity. While neuronal coding of odour quality is fairly well studied, how odour intensity is treated by olfactory systems is less clear. Here ... -
Policy diffusion between the World Bank and Turkey: the social risk mitigation project
(Bilkent University, 2020-12)Turkey adopted the Social Risk Mitigation Project (the SRMP) in 2001 with the incentives of the World Bank (the WB) to recover the effects of the 1999 earthquake and 2001 financial crisis on the poor. This thesis aims ... -
The rise of money : an evolutionary analysis of the origins of money
(Bilkent University, 2006)This paper shows that if there are more goods than money in all trading periods then nonconvertible fiat money is evolutionarily successful in complex economies. This result is developed in Kiyotaki and Wright (1993) search ...
