Results 31 to 40 of about 5,061,029 (315)

Automatic attribute threshold selection for morphological connected attribute filters [PDF]

Pattern Recognition, 2016
Attribute filters allow enhancement and extraction of features without distorting their borders, and never introduce new image features. In attribute filters, till date setting the attribute-threshold parameters has to be done manually. This research explores novel, simple, fast and automated methods of computing attribute threshold parameters based on
Kiwanuka, Fred N., Wilkinson, Michael H. F.   +1 more
openaire   +1 more source

A constrained method of constructing the logic classification trees on the basis of elementary attribute selection

International Workshop on Computer Modeling and Intelligent Systems, 2020
. A problem of constructing the logic classification tree model on the basis of a constrained elementary attribute selection method for the geologic data array has been considered.
I. Povkhan
semanticscholar   +1 more source

Metric and Accuracy Ranked Feature Inclusion: Hybrids of Filter and Wrapper Feature Selection Approaches

IEEE Access, 2021
Feature selection has emerged as a craft, using which we boost the performance of our learning model. Feature or Attribute Selection is a data preprocessing technique, where only the most informative features are considered and given to the predictor ...
G. S. Thejas, Rameshwar Garg, S. S. Iyengar, N. R. Sunitha, Prajwal Badrinath, Shasank Chennupati   +5 more
doaj   +1 more source

Multiattribute Access Selection Algorithm for Heterogeneous Wireless Networks Based on Fuzzy Network Attribute Values

IEEE Access, 2022
An important feature of the wireless network scenario is that there are multi- radio access technologies in the same area, and the signal coverage of these networks overlaps each other, forming the heterogeneous wireless network area.
Xiaoxue Guo, Mohd. Hasbullah Omar, Khuzairi Mohd Zaini, Gen Liang, Maoyuan Lin, Zirun Gan   +5 more
doaj   +1 more source

Attribute Discrimination Index-Based Method to Balance Attribute Coverage for Short-Length Cognitive Diagnostic Computerized Adaptive Testing

Frontiers in Psychology, 2020
We propose a new method that balances attribute coverage for short-length cognitive diagnostic computerized adaptive testing (CD-CAT). The new method uses the attribute discrimination index (ADI-based method) instead of the number of items that measure ...
Yutong Wang, Xiaojian Sun, Weifeng Chong, Tao Xin   +3 more
doaj   +1 more source

Attribute selection strategies for attribute-oriented generalization [PDF]

, 1996
We describe and compare attribute-selection strategies for attribute-oriented generalization (AOG). AOG summarizes the information in a relational database by repeatedly replacing specific attribute values with more general concepts. Several strategies for selecting the next attribute to generalize have been suggested in the literature, but their ...
Brock Barber, Howard J. Hamilton
openaire   +1 more source

Pendekatan Algoritma Klasifikasi Machine Learning untuk Deteksi Penyakit Demensia

Computer Science, 2023
Early detection of dementia through the use of machine learning classification algorithms is important for providing appropriate interventions to patients.
Muhammad Iqbal, Hendri Mahmud Nawawi, Muhammad Rezki, Abdul Hamid, Sri Rahayu   +4 more
doaj   +1 more source

Machine Learning Models for Cultural Heritage Image Classification: Comparison Based on Attribute Selection

Inf., 2019
Image classification is one of the most important tasks in the digital era. In terms of cultural heritage, it is important to develop classification methods that obtain good accuracy, but also are less computationally intensive, as image classification ...
Radmila Janković
semanticscholar   +1 more source

PISA 2018 Türkiye Örnekleminde Okuma Becerisini Etkileyen Değişkenlerin Boruta Algoritması ile Belirlenmesi

Ankara Üniversitesi Eğitim Bilimleri Fakültesi Dergisi
Bu çalışmanın amacı öğrencilerin okuma beceri düzeylerine göre sınıflandırması üzerinde etkisi olan değişkenlerin belirlenmesidir. Bu amaçla yüksek ve düşük okuma becerisine sahip olarak belirlenen sınıflandırma gruplarını etkiyen değişkenler tespit ...
Sanem Şehribanoğlu
doaj   +1 more source

MaSS: Multi-attribute Selective Suppression

, 2022
The recent rapid advances in machine learning technologies largely depend on the vast richness of data available today, in terms of both the quantity and the rich content contained within. For example, biometric data such as images and voices could reveal people's attributes like age, gender, sentiment, and origin, whereas location/motion data could be
Chen, Chun-Fu, Hu, Shaohan, Shi, Zhonghao, Gulati, Prateek, Moriarty, Bill, Pistoia, Marco, Piuri, Vincenzo, Samarati, Pierangela   +7 more
openaire   +2 more sources