abstract in this presentation, a case of bilateral choroidal folds in patient with diabetic retinopathy was reported. by our knowledge, this case presentation is the first report of choroidal folds in diabetic retinopathy, which bilateral symmetric and horizontal folds arranged in macula. the thick choroid that is developed in diabetics may be a cause of these folds but the source of difference...

This study analyzes the performance of k-Nearest Neighbor method with k-Fold Cross Validation algorithm as an evaluation model and Analytic Hierarchy Process feature selection for data classification process in order to obtain best level accuracy machine learning model. The test results are fold-3, which is getting rate 95%. Evaluation can get a good also gets optimal reduce because it only use...

In this paper, first, an initial feature vector for vocal fold pathology diagnosis is proposed. Then, for optimizing the initial feature vector, a genetic algorithm is proposed. Some experiments are carried out for evaluating and comparing the classification accuracies which are obtained by the use of the different classifiers (ensemble of decision tree, discriminant analysis and K-nearest neig...

Bisnis simpan pinjam di era sat ini semakin banyak beredar masyarakat, baik itu online maupun konvensional. Banyak juga perusahaan penyedia jasa kepada para konsumen atau nasabahnya disebut sebagai debitur yang kurang mempertimbangkan kemampuan dalam mengembalikan uang pinjamannya. Sebenarnya algoritma mampu dimanfaatkan mengatasi memprediksi seorang tersbut nantinya layak untuk diberi pinjaman...

in this paper, first, an initial feature vector for vocal fold pathology diagnosis is proposed. then, for optimizing the initial feature vector, a genetic algorithm is proposed. some experiments are carried out for evaluating and comparing the classification accuracies which are obtained by the use of the different classifiers (ensemble of decision tree, discriminant analysis and k-nearest neig...

We show that 2 is the minimum VC dimension of a concept class whose k-fold union has VC dimension Ω(k log k).

As seen in the bibliography, Adaptive Boosting (Adaboost) is one of the most known methods to increase the performance of an ensemble of neural networks. We introduce a new method based on Adaboost where we have applied Cross-Validation to increase the diversity of the ensemble. We have used CrossValidation over the whole learning set to generate an specific training set and validation set for ...

We present a new wrapper feature selection algorithm for human detection. This algorithm is a hybrid feature selection approach combining the benefits of filter and wrapper methods. It allows the selection of an optimal feature vector that well represents the shapes of the subjects in the images. In detail, the proposed feature selection algorithm adopts the k-fold subsampling and sequential ba...