Ara
Toplam kayıt 25, listelenen: 11-20
Machine learning
(Institution of Engineering and Technology, 2020-01-01)
[No abstract available]
Cost-conscious comparison of supervised learning algorithms over multiple data sets
(Elsevier Sci Ltd, 2012-04)
In the literature, there exist statistical tests to compare supervised learning algorithms on multiple data sets in terms of accuracy but they do not always generate an ordering. We propose Multi(2)Test, a generalization ...
Eigenclassifiers for combining correlated classifiers
(Elsevier Science Inc, 2012-03-15)
In practice, classifiers in an ensemble are not independent. This paper is the continuation of our previous work on ensemble subset selection [A. Ulas, M. Semerci, O.T. Yildiz, E. Alpaydin, Incremental construction of ...
Extension of conventional co-training learning strategies to three-view and committee-based learning strategies for effective automatic sentence segmentation
(IEEE, 2018)
The objective of this work is to develop effective multi-view semi-supervised machine learning strategies for sentence boundary classification problem when only small sets of sentence boundary labeled data are available. ...
Co-training using prosodic, lexical and morphological information for automatic sentence segmentation of Turkish spoken language
(Işık Üniversitesi, 2018-01-15)
Sentence segmentation of speech aims detecting sentence boundaries in a stream of words output by the speech recognizer. Sentence segmentation is a preliminary step toward speech understanding. It is of particular importance ...
Word sense disambiguation, named entity recognition, and shallow parsing tasks for Turkish
(Işık Üniversitesi, 2019-04-02)
People interactions are based on sentences. The process of understanding sentences is thru converging, parsing the words and making sense of words. The ultimate goal of Natural Language Processing is to understand the ...
Do?rudan pazarlama amaçlı hedef kitle analizi
(Institute of Electrical and Electronics Engineers Inc., 2018-07-05)
Doğrudan pazarlama, uygun ürünleri uygun kişilerle en kısa yoldan buluşturma sürecidir. Son yılların en popüler pazarlama yaklaşımlarından birisidir. Bu çalışmada turizm sektörüne ait isimsizleştirilmiş bir veri tabanını ...
A cooperative neural network control structure and its application for systems having dead-zone nonlinearities
(Springer International Publishing Ag, 2022-03)
An adaptive control structure utilizing two feed-forward neural networks (NN) is proposed to deal with systems having unknown nonlinearities. One of the networks is trained to mimic the nonlinear system dynamics. Its ...
Supervised decision making in forex investment using ML and DL classification methods
(Işık Üniversitesi, 2023-07-20)
The suggested trading system offers an approach that takes into account the complexity and high trading volume of the foreign exchange (FX0) market. Its main objective is to address the challenges faced by traders in the ...
A review of LWIC and machine learning approaches on mental health diagnosis
(Işık Üniversitesi Yayınları, 2023-10-25)
Machine learning methods are becoming increasingly popular in data analysis. In the field of mental healthcare, these methods provide support to mental disorder diagnosis. Pennebaker developed a dictionary-based text ...