Ara
Toplam kayıt 25, listelenen: 1-10
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 robust Gradient boosting model based on SMOTE and NEAR MISS methods for intrusion detection in imbalanced data sets
(Işık Üniversitesi, 2022-01-18)
Novel technologies cause many security vulnerabilities and zero-day attack risks. Intrusion Detection Systems (IDS) are developed to protect computer networks from threats and attacks. Many challenging problems need to be ...
Rule based entity-relationship diagram modelling
(Işık Üniversitesi, 2022-02-07)
Modern society needs to use database system since they involve many activities that are related to database interaction directly. In this study, entity-relationship modeling using Natural Language Processing techniques is ...
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 ...
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. ...
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 ...
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 ...
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, ...
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 ...