Ara
Toplam kayıt 61, listelenen: 41-50
Müşterilerin GSP analizi kullanarak kümelenmesi
(Institute of Electrical and Electronics Engineers Inc., 2018-07-05)
Bu çalışma ile mevcut misafir ve rezervasyon verisi kullanılarak doğal öbeklenmeleri tespit ederek misafir davranışları tespit ettik. Ayrıca verilen hizmetleri ve satış stratejilerini bu davranışlara göre özelleştirdik. ...
All-words word sense disambiguation for Turkish
(IEEE, 2017)
Identifying the sense of a word within a context is a challenging problem and has many applications in natural language processing. This assignment problem is called word sense disambiguation(WSD). Many papers in the ...
A hybrid approach to dynamic enterprise data platform
(Institute of Electrical and Electronics Engineers Inc., 2019-12-12)
Today, corporations aim to make maximum use of the data produced in business applications. One of the most important goals is to convert the data to the commercial benefit in the fastest way. For this purpose, it is critical ...
Construction of a Turkish proposition bank
(Tubitak Scientific & Technical Research Council Turkey, 2018)
This paper describes our approach to developing the Turkish PropBank by adopting the semantic role-labeling guidelines of the original PropBank and using the translation of the English Penn-TreeBank as a resource. We discuss ...
Türkçe anlamsal söylem ve cümle benzerliği analizleri için veri kümesi oluşturma yöntemi
(IEEE, 2018-12-06)
Çalışmamızın amacı Türkçe için paragraf-cümle düzeyinde anlamsal söylem analizi ve paragraf-cümle ve cümle-cümle düzeyinde metinsel benzerlik ölçümlemesi için bir veri kümesi hazırlamaktır.
Cryptanalysis of Fridrich's chaotic image encryption
(World Scientific Publishing, 2010-05)
We cryptanalyze Fridrich's chaotic image encryption algorithm. We show that the algebraic weaknesses of the algorithm make it vulnerable against chosen-ciphertext attacks. We propose an attack that reveals the secret ...
Bagging soft decision trees
(Springer Verlag, 2016)
The decision tree is one of the earliest predictive models in machine learning. In the soft decision tree, based on the hierarchical mixture of experts model, internal binary nodes take soft decisions and choose both ...
Feature extraction from discrete attributes
(IEEE, 2010)
In many pattern recognition applications, first decision trees are used due to their simplicity and easily interpretable nature. In this paper, we extract new features by combining k discrete attributes, where for each ...
Univariate margin tree
(Springer, 2010)
In many pattern recognition applications, first decision trees are used due to their simplicity and easily interpretable nature. In this paper, we propose a new decision tree learning algorithm called univariate margin ...
Multivariate statistical tests for comparing classification algorithms
(Springer, Berlin, Heidelberg, 2011)
The misclassification error which is usually used in tests to compare classification algorithms, does not make a distinction between the sources of error, namely, false positives and false negatives. Instead of summing ...