Now showing items 1-17 of 17

    • Announcements and credibility under inflation targeting 

      Demir, B.; Yigit, T. M. (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 

      Lee. H. -S.; Tekin, C.; Schaar, M. V. D.; Lee, J. -W. (Institute of Electrical and Electronics Engineers Inc., 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 

      Altay, B. (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 

      Ferrazzoli, D.; Carter, A.; Ustun, F. S.; Palamara, G.; Ortelli, P.; Maestri, R.; Yucel, M.; Frazzitta, G. (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 

      Joseph, M.; Stone, G. W.; Grantham, K.; Harmancioglu, N.; Ibrahim, E. (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 ...
    • Jamming bandits-a novel learning method for optimal jamming 

      Amuru, S.; Tekin, C.; Van Der Schaar, M.; Buehrer, R.M. (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 

      Başçı, E. (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 

      Özyıldırım, S.; Alemdar, N. M. (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, inflation, and the Phillips Curve 

      Kaplan, Duygu (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 

      Aksoy, Hakan (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 

      Barshan, B.; Ayrulu, B.; Utete, S. W. (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 

      Ayrulu, B.; Barshan, B. (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 

      Aktoprak, I.; Dinc, P.; Gunay, G.; Adams, M. M. (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 

      Yarali, A.; Ehser, S.; Hapil F.Z.; Huang J.; Gerber, B. (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 ...
    • The rise of money : an evolutionary analysis of the origins of money 

      Tahmilci, Ahmet (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 ...
    • Transform pre-processing for neural networks for object recognition and localization with sonar 

      Barshan, B.; Ayrulu, B. (2003)
      We investigate the pre-processing of sonar signals prior to using neural networks for robust differentiation of commonly encountered features in indoor environments. Amplitude and time-of-flight measurement patterns acquired ...
    • β-Tubulin mRNA expression profiles during long-term memory formation in classically conditioned C. elegans 

      Erdogan, M.; Sahin, E. (2013)
      We report on the mRNA expression profiles of β-tubulin genes in Caenorhabditis elegans during the process of classical conditioning, a type of associative learning. In this research, based on the model that suggests the ...