Konu "Classification (of information)" için listeleme
Toplam kayıt 24, listelenen: 1-20
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Adaptive convolution kernel for artificial neural networks
(Academic Press Inc., 2021-02)Many deep neural networks are built by using stacked convolutional layers of fixed and single size (often 3 × 3) kernels. This paper describes a method for learning the size of convolutional kernels to provide varying size ... -
An adaptive locally connected neuron model: Focusing neuron
(Elsevier B.V., 2021-01-02)This paper presents a new artificial neuron model capable of learning its receptive field in the topological domain of inputs. The experiments include tests of focusing neuron networks of one or two hidden layers on synthetic ... -
Analysis of the benefits, challenges and risks for the integrated use of BIM, RFID and WSN: a mixed method research
(Emerald Group Publishing Ltd, 2023-07-11)Purpose The purpose of this study is to identify, classify and prioritize the benefits, challenges and risks for the integrated use of building information modeling (BIM), radio frequency identification (RFID) and wireless ... -
Biometric identification using fingertip electrocardiogram signals
(Springer London Ltd, 2018-07)In this research work, we present a newly fingertip electrocardiogram (ECG) data acquisition device capable of recording the lead-1 ECG signal through the right- and left-hand thumb fingers. The proposed device is ... -
Convolutional attention network for MRI-based Alzheimer's disease classification and its interpretability analysis
(IEEE, 2021-09-17)Neuroimaging techniques, such as Magnetic Resonance Imaging (MRI) and Positron Emission Tomography (PET), help to identify Alzheimer's disease (AD). These techniques generate large-scale, high-dimensional, multimodal ... -
Çok-hipotezli süperpikseller ile sahne bölütleme ve etiketleme
(IEEE, 2015-06-19)Süperpikseller son zamanlarda imge bölütleme ve sınıflandırma problemlerinde giderek önem kazanmaktadır. Sahne etiketlemede imge öncelikle bir süperpiksel algoritması ile görsel olarak tutarlı küçük parçalara bölütlenmekte; ... -
Effective semi-supervised learning strategies for automatic sentence segmentation
(Elsevier Science BV, 2018-04-01)The primary objective of sentence segmentation process is to determine the sentence boundaries of a stream of words output by the automatic speech recognizers. Statistical methods developed for sentence segmentation requires ... -
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 ... -
GIS aided vulnerability assessment for roads
(Springer Science and Business Media B.V., 2022-04-21)Road networks are vulnerable to natural disasters such as floods, earthquakes and forest fires which can adversely affect the travel on the network. However, not all road links equally affect the travel conditions in a ... -
ISIKUN at the FinCausal 2020: Linguistically informed machine-learning approach for causality identification in financial documents
(Association for Computational Linguistics (ACL), 2020)This paper presents our participation to the FinCausal-2020 Shared Task whose ultimate aim is to extract cause-effect relations from a given financial text. Our participation includes two systems for the two sub-tasks of ... -
Kernel likelihood estimation for superpixel image parsing
(Springer Verlag, 2016)In superpixel-based image parsing, the image is first segmented into visually consistent small regions, i.e. superpixels; then superpixels are parsed into different categories. SuperParsing algorithm provides an elegant ... -
Machine learning-based model categorization using textual and structural features
(Springer Science and Business Media Deutschland GmbH, 2022-09-08)Model Driven Engineering (MDE), where models are the core elements in the entire life cycle from the specification to maintenance phases, is one of the promising techniques to provide abstraction and automation. However, ... -
Mapping classifiers and datasets
(Pergamon-Elsevier Science Ltd, 2011-04)Given the posterior probability estimates of 14 classifiers on 38 datasets, we plot two-dimensional maps of classifiers and datasets using principal component analysis (PCA) and Isomap. The similarity between classifiers ... -
Microservices-based databank for Turkish hazelnut cultivars using IoT and semantic web technologies
(John Wiley and Sons Ltd, 2024)Information and communication technologies (ICTs) can play a crucial role in facilitating access to comprehensive information on the quality standards of Turkish hazelnut cultivars. In this regard, this study introduces a ... -
A novel approach to morphological disambiguation for Turkish
(Springer-Verlag, 2012)In this paper, we propose a classification based approach to the morphological disambiguation for Turkish language. Due to complex morphology in Turkish, any word can get unlimited number of affixes resulting very large ... -
Quadratic programming for class ordering in rule induction
(Elsevier Science BV, 2015-03-01)Separate-and-conquer type rule induction algorithms such as Ripper, solve a K>2 class problem by converting it into a sequence of K - 1 two-class problems. As a usual heuristic, the classes are fed into the algorithm in ... -
Regularizing soft decision trees
(Springer, 2013)Recently, we have proposed a new decision tree family called soft decision trees where a node chooses both its left and right children with different probabilities as given by a gating function, different from a hard ... -
Reviewing the effects of spatial features on price prediction for real estate market: Istanbul case
(IEEE, 2022-09-16)In the real estate market, spatial features play a crucial role in determining property appraisals and prices. When spatial features are considered, classification techniques have been rarely studied compared to regression, ... -
Soft decision trees
(IEEE, 2012)We discuss a novel decision tree architecture with soft decisions at the internal nodes where we choose both children with probabilities given by a sigmoid gating function. Our algorithm is incremental where new nodes are ... -
Sınıflandırma için diferansiyel mahremiyete dayalı öznitelik seçimi
(Gazi Univ, Fac Engineering Architecture, 2018)Veri madenciliği ve makine öğrenmesi çözümlerinin en önemli ön aşamalarından biri yapılacak analizde kullanılacak verinin özniteliklerinin uygun bir alt kümesini belirlemektir. Sınıflandırma yöntemleri için bu işlem, bir ...