Now showing items 21-40 of 49

    • Do computer games enhance learning about conflicts? A cross-national inquiry into proximate and distant scenarios in Global Conflicts 

      Kampf, R.; Cuhadar E. (Pergamon Press, 2015)
      Interactive conflict resolution and peace education have developed as two major lines of practice to tackle intractable inter-group conflicts. Recently, new media technologies such as social media, computer games, and ...
    • An energy efficient additive neural network 

      Afrasiyabi, A.; Nasir, B.; Yıldız, O.; Yarman-Vural, F. T.; Çetin, A. Enis (IEEE, 2017)
      In this paper, we propose a new energy efficient neural network with the universal approximation property over space of Lebesgue integrable functions. This network, called additive neural network, is very suitable for ...
    • Estimating the chance of success in IVF treatment using a ranking algorithm 

      Güvenir, H. A.; Misirli, G.; Dilbaz, S.; Ozdegirmenci, O.; Demir, B.; Dilbaz, B. (Springer, 2015)
      In medicine, estimating the chance of success for treatment is important in deciding whether to begin the treatment or not. This paper focuses on the domain of in vitro fertilization (IVF), where estimating the outcome of ...
    • An experimental study on speech interference in public leisure spaces 

      Yilmazer, Semiha; Gezginer, Pelin Meriç (Institute of Noise Control Engineering, 2010)
      Physical comfort requirements of users in the non-acoustical spaces, leisure space, and usability of the space in long-term period should be taken into consideration in terms of sustainability of the space. The aim of this ...
    • Flame detection for video-based early fire warning for the protection of cultural heritage 

      Dimitropoulos, K.; Günay, Osman; Köse, Kıvanç; Erden, Fatih; Chaabene, F.; Tsalakanidou, F.; Grammalidis, N.; Çetin, Enis (2012-10-11)
      Cultural heritage and archaeological sites are exposed to the risk of fire and early warning is the only way to avoid losses and damages. The use of terrestrial systems, typically based on video cameras, is currently the ...
    • Generalizing predicates with string arguments 

      Cicekli, I.; Cicekli, N. K. (Springer New York LLC, 2006-06)
      The least general generalization (LGG) of strings may cause an over-generalization in the generalization process of the clauses of predicates with string arguments. We propose a specific generalization (SG) for strings to ...
    • Heterogeneous inference in design 

      Akman, Varol (Publ by ASME, New York, NY, United States, 1992)
      For those of us involved in the attempt to construct formal models and environments in which the world of design can be subjected to scientific experimentation, the raison d'etre of logic has been rather well-understood. ...
    • Improving genome assemblies using multi-platform sequence data 

      Kavak, P.; Ergüner, B.; Üstek, D.; Yüksel, B.; Saǧıroǧlu, M. Ş.; Güngör, T.; Alkan, Can (Springer, 2015-09)
      Accurate de novo assembly using short reads generated by next generation sequencing technologies is still an open problem. Although there are several assembly algorithms developed for data generated with different sequencing ...
    • Interactive training of advanced classifiers for mining remote sensing image archives 

      Aksoy, Selim; Koperski, K.; Tusk, C.; Marchisio G. (ACM, 2004)
      Advances in satellite technology and availability of down-loaded images constantly increase the sizes of remote sensing image archives. Automatic content extraction, classification and content-based retrieval have become ...
    • Investigation of multi-objective optimization criteria for RNA design 

      Hampson, D. J. D.; Sav, Sinem; Tsang, H. H. (IEEE, 2017-12)
      RNA design is the inverse of RNA folding and it appears to be NP-hard. In RNA design, a secondary structure is given and the goal is to find a nucleotide sequence that will fold into this structure. To find such sequence(s) ...
    • Issues in commonsense set theory 

      Pakkan, M.; Akman, V. (Springer/Kluwer Academic Publishers, 1994)
      The success of set theory as a foundation for mathematics inspires its use in artificial intelligence, particularly in commonsense reasoning. In this survey, we briefly review classical set theory from an AI perspective, ...
    • L1 norm based multiplication-free cosine similarity measures for big data analysis 

      Akbaş, Cem Emre; Bozkurt, Alican; Arslan, Musa Tunç; Aslanoğlu, Hüseyin; Çetin, A. Enis (IEEE, 2014-11)
      The cosine similarity measure is widely used in big data analysis to compare vectors. In this article a new set of vector similarity measures are proposed. New vector similarity measures are based on a multiplication-free ...
    • A machine learning approach for result caching in web search engines 

      Kucukyilmaz T.; Cambazoglu, B. B.; Aykanat, Cevdet; Baeza-Yates R. (Elsevier, 2017)
      A commonly used technique for improving search engine performance is result caching. In result caching, precomputed results (e.g., URLs and snippets of best matching pages) of certain queries are stored in a fast-access ...
    • Multi-objective contextual bandits with a dominant objective 

      Tekin, Cem; Turgay, Eralp (IEEE, 2017)
      In this paper, we propose a new contextual bandit problem with two objectives, where one of the objectives dominates the other objective. Unlike single-objective bandit problems in which the learner obtains a random scalar ...
    • Nesne tanımada bağlam ve anlambilimsel sınıflandırmanın önemi: Bilgisayarla görme ve insanda görme alanlarındaki çalışmalar 

      Aksoy, Selim; Boyacı, Hüseyin; Gökçay, D. (IEEE, 2008-04)
      Sahne sınıflandırması ve nesne tanıma, bilgisayarla görme alanında fok uzun yıllardır üzerinde çalışılan temel problemlerdir. Bilgisayarlara kazandırılmaya çalışılan, sahnelerin ve içerdikleri nesnelerin otomatik olarak ...
    • 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 ...
    • On the size of full element-indexes for XML keyword search 

      Atilgan, Duygu; Altıngövde, I. Ş.; Ulusoy, Özgür (2012)
      We show that a full element-index can be as space-efficient as a direct index with Dewey ids, after compression using typical techniques. © 2012 Springer-Verlag Berlin Heidelberg.
    • An Online Causal Inference Framework for Modeling and Designing Systems Involving User Preferences: A State-Space Approach 

      Delibalta, I.; Baruh, L.; Kozat, S. S. (Hindawi Limited, 2017)
      We provide a causal inference framework to model the effects of machine learning algorithms on user preferences. We then use this mathematical model to prove that the overall system can be tuned to alter those preferences ...
    • The power of physical representations 

      Akman, V.; ten Hagen, P. J. W. (AAAI Press, 1989)
      Commonsense reasoning about the physical world, as exemplified by 'Iron sinks in water' or 'If a ball is dropped it gains speed,' will be indispensable in future programs. We argue that to make such predictions (namely, ...
    • Predicting pilot behavior in medium-scale scenarios using game theory and reinforcement learning 

      Yildiz, Y.; Agogino, A.; Brat, G. (American Institute of Aeronautics and Astronautics Inc., 2014)
      A key element to meet the continuing growth in air traffic is the increased use of automation. Decision support systems, computer-based information acquisition, trajectory planning systems, high-level graphic display ...