Toplam kayıt 790, listelenen: 737-756

      Künye Göre
      Yıldız, M. & Kuru, S. (2003). A designing practice and two coding practices for extreme programming (XP). Paper presented at the Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2675 357-359. [1]
      Yıldız, M., Göknar, İ. C. & Minaei, S. (2015). MOS only oscillator using adder and subtractor circuits. Paper presented at the 2015 9th International Conference on Electrical and Electronics Engineering (ELECO), 33-36. doi:10.1109/ELECO.2015.7394618 [1]
      Yıldız, N., Cesur, E. & Tavşanoğlu, A. V. (2014). Design of a third generation real-time cellular neural network emulator. Paper presented at the 2014 14th International Workshop on Cellular Nanoscale Networks and their Applications (CNNA), 1-2. doi:10.1109/CNNA.2014.6888621 [1]
      Yıldız, N., Cesur, E., Kayaer, K., Tavşanogğu, A. V. & Alpay, M. (2015). Architecture of a fully pipelined real-time cellular neural network emulator. IEEE Transactions on Circuits and Systems I: Regular Papers, 62(1), 130-138. doi:10.1109/TCSI.2014.2345502 [1]
      Yıldız, O. T. & Alpaydın, A. İ. E. (2013). Statistical tests using hinge/ε-sensitive loss. Paper presented at the Computer and Information Sciences III - 27th International Symposium on Computer and Information Sciences, ISCIS 2012, 153-160. doi:10.1007/978-1-4471-4594-3-16 [1]
      Yıldız, O. T. & Alpaydın, A. İ. E. (2014). Regularizing soft decision trees. Paper presented at the Lecture Notes in Electrical Engineering, 264, 15-21. doi:10.1007/978-3-319-01604-7_2 [1]
      Yıldız, O. T. & Dikmen, O. (2007). Parallel univariate decision trees. Pattern Recognition Letters, 28(7), 825-832. doi:10.1016/j.patrec.2006.11.009 [1]
      Yıldız, O. T. & Ulaş, A. (2016). Incremental construction of rule ensembles using classifiers produced by different class orderings. Paper presented at the 2016 23rd International Conference on Pattern Recognition (ICPR), 492-497. doi:10.1109/ICPR.2016.7899682 [1]
      Yıldız, O. T. (2010). Feature extraction from discrete attributes. Paper presented at the Proceedings - International Conference on Pattern Recognition, 3915-3918. doi:10.1109/ICPR.2010.952 [1]
      Yıldız, O. T. (2010). Univariate margin tree. Paper presented at the Lecture Notes in Electrical Engineering, 62, 11-16. doi:10.1007/978-90-481-9794-1_3 [1]
      Yıldız, O. T. (2011). Mapping classifiers and datasets. Expert Systems with Applications, 38(4), 3697-3702. doi:10.1016/j.eswa.2010.09.027 [1]
      Yıldız, O. T. (2011). Model selection in omnivariate decision trees using structural risk minimization. Information Sciences, 181(23), 5214-5226. doi:10.1016/j.ins.2011.07.028 [1]
      Yıldız, O. T. (2012). On the VC-dimension of univariate decision trees. Paper present et the ICPRAM 2012 - Proceedings of the 1st International Conference on Pattern Recognition Applications and Methods, 205-210. doi:10.5220/0003777202050210 [1]
      Yıldız, O. T. (2012). Univariate decision tree induction using maximum margin classification. Computer Journal, 55(3), 293-298. doi:10.1093/comjnl/bxr020 [1]
      Yıldız, O. T. (2013). Omnivariate rule induction using a novel pairwise statistical test. IEEE Transactions on Knowledge and Data Engineering, 25(9), 2105-2118. doi:10.1109/TKDE.2012.155 [1]
      Yıldız, O. T. (2014). On the feature extraction in discrete space. Pattern Recognition, 47(5), 1988-1993. doi:10.1016/j.patcog.2013.11.023 [1]
      Yıldız, O. T. (2014). VC-dimension of rule sets. Paper presented at the International Conference on Pattern Recognition, 3576-3581. doi:10.1109/ICPR.2014.615 [1]
      Yıldız, O. T. (2015). Quadratic programming for class ordering in rule induction. Pattern Recognition Letters, 54, 63-68. doi:10.1016/j.patrec.2014.12.002 [1]
      Yıldız, O. T. (2015). VC-dimension of univariate decision trees. IEEE Transactions on Neural Networks and Learning Systems, 26(2), 378-387. doi:10.1109/TNNLS.2014.2385837 [1]
      Yıldız, O. T. (2016). Tree ensembles on the induced discrete space. IEEE Transactions on Neural Networks and Learning Systems, 27(5), 1108-1113. doi:10.1109/TNNLS.2015.2430277 [1]