İstatistiksel akıl yürütme gelişimi üzerine teorik çerçeveler



İstatistiksel Akıl Yürütme Gelişimi Üzerine Teorik Çerçeveler
Kazak, Sibel (Pegem A. Yayıncılık, 2016-01-01)
İstatistik dersinde kullanılan ölçme ve değerlendirme yöntemleri üzerine öğrenci görüşleri
Çapa Aydın, Yeşim (2008-05-16)
An assessment and analysis tool for statistical process control of software process
Kırbaş, Serkan; Doğru, Ali Hikmet; Department of Computer Engineering (2007)
Statistical process control (SPC) which includes very powerful techniques used in other mature engineering disciplines for providing process control is not used by many software organizations. In software engineering domain, SPC is currently utilized only by organizations which have high maturity levels according to the process improvement models like CMM, ISO/IEC 15504 and CMMI. Guidelines and software tools to implement SPC techniques should be developed for effective use and dissemination of SPC especial...
Secure password generation through statistical randomness tests
Uslu, Aycan; Doğanaksoy, Ali; Department of Cryptography (2017)
Both symmetric and asymmetric cryptographic algorithms must firstly be robust against brute force. The key needs to be choosen uniformly and randomly from the key space. It is possible to assure randomness by using statistical randomness tests which are also critical for other cryptographic issues as well. There is still an issue to be elaborated: the most well-known tool for attacking againts passwords namely dictionary attacks. These attacks are based on trying all keys from a particular subspace of the k...
A mathematical contribution of statistical learning and continuous optimization using infinite and semi-infinite programming to computational statistics
Özöğür-Akyüz, Süreyya; Weber, Gerhard Wilhelm; Department of Scientific Computing (2009)
A subfield of artificial intelligence, machine learning (ML), is concerned with the development of algorithms that allow computers to “learn”. ML is the process of training a system with large number of examples, extracting rules and finding patterns in order to make predictions on new data points (examples). The most common machine learning schemes are supervised, semi-supervised, unsupervised and reinforcement learning. These schemes apply to natural language processing, search engines, medical diagnosis,...
Citation Formats
S. Kazak, İstatistiksel akıl yürütme gelişimi üzerine teorik çerçeveler. 2016.