Support vector machines (SVMs) seek to optimize three distinct objectives: maximization of margin, minimization of regularization from the positive class, and minimization of regularization from the ...

This paper presents the application of a genetic algorithm (GA) and a support vector machine (SVM) to the recognition of blood cells based on the image of the bone marrow aspirate. The main task of ...

Recentive’s four asserted patents involved software for generating event schedules and network maps using machine learning models trained on historical data. Although the applications had ...

The tumor suppressor p53 is a transcription factor that controls the expression of hundreds of genes. Emerging evidence suggests that the p53-induced RNA-binding protein ZMAT3 is a key splicing ...

UML activity diagrams UML activity diagrams depict step-by-step processes with a clear beginning and end. Activity diagrams are relevant in many business contexts and can be an excellent tool for ...

Pemodelan Machine Learning: Implementasi algoritma Support Vector Machine (SVM) untuk klasifikasi. Evaluasi Model: Menilai kinerja model menggunakan metrik seperti akurasi, presisi, recall, F1-score, ...