Konu "Machine learning" için listeleme
Toplam kayıt 25, listelenen: 1-20
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Aynı oteli temsil eden farklı kayıtlar için akıllı eşleştirme
(Institute of Electrical and Electronics Engineers Inc., 2019-09)Otel sayısının her geçen gün arttığı turizm sektöründe, aracı firmaların tüm oteller ile ayrı ayrı çalışma imkanı bulunmadığından, firmalar dünya üzerinde bir çok otelle anlaşması bulunan servis sağlayıcılarıyla beraber ... -
Calculating the VC-dimension of decision trees
(IEEE, 2009)We propose an exhaustive search algorithm that calculates the VC-dimension of univariate decision trees with binary features. The VC-dimension of the univariate decision tree with binary features depends on (i) the ... -
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 ... -
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 ... -
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 ... -
Doǧrudan 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 ... -
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 ... -
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. ... -
Fingertip electrocardiogram and speech signal based biometric recognition system
(Işık Üniversitesi, 2021-12-27)Fingertip electrocardiogram and speech signal based biometric recognition system In this research work, we presented a one-dimensional CNN-based person identification system which depends on the combination of both speech ... -
Identification of metabolic correlates of mild cognitive impairment in Parkinson's disease using magnetic resonance spectroscopic imaging and machine learning
(Springer Science and Business Media Deutschland GmbH, 2022-12)Objective: To investigate metabolic changes of mild cognitive impairment in Parkinson’s disease (PD-MCI) using proton magnetic resonance spectroscopic imaging (1H-MRSI). Methods: Sixteen healthy controls (HC), 26 cognitively ... -
Incremental construction of classifier and discriminant ensembles
(Elsevier Science Inc, 2009-04-15)We discuss approaches to incrementally construct an ensemble. The first constructs an ensemble of classifiers choosing a subset from a larger set, and the second constructs an ensemble of discriminants, where a classifier ... -
An incremental model selection algorithm based on cross-validation for finding the architecture of a Hidden Markov model on hand gesture data sets
(IEEE, 2009-12-13)In a multi-parameter learning problem, besides choosing the architecture of the learner, there is the problem of finding the optimal parameters to get maximum performance. When the number of parameters to be tuned increases, ... -
İlişkisel veri tabanlarında mükerrer kayıtların makine öǧrenmesiyle tespiti
(Institute of Electrical and Electronics Engineers Inc., 2018-07-05)Veri miktarının artışına paralel olarak, ilişkisel veri tabanlarında mükerrer kayıtlar da artmaktadır. Artan bu kayıtlar kullanıldıkları rapor veya analizlerde tutarsızlığa sebep olabilmektedir. Bu sorunu en aza indirgemek ... -
Learning to rank
(Işık Üniversitesi, 2011-04-28)The web has grown so rapidly in the last decade and it brought the need for proper ranking. Learning to rank (LTR) is the collection of machine learning technolo- gies that construct a ranking model using training data. ... -
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, ... -
Model selection in omnivariate decision trees using Structural Risk Minimization
(Elsevier Science Inc, 2011-12-01)As opposed to trees that use a single type of decision node, an omnivariate decision tree contains nodes of different types. We propose to use Structural Risk Minimization (SRM) to choose between node types in omnivariate ... -
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. ... -
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 ...