Titlebook: Artificial Neural Networks in Pattern Recognition; 11th IAPR TC3 Worksh Ching Yee Suen,Adam Krzyzak,Nicola Nobile Conference proceedings 20

竖琴

Robust Clustering with McDonald’s Beta-Liouville Mixture Models for Proportional Dataly determined while estimating the parameters. Our suggested approach is utilized in medical settings, specifically to focus medication for individuals with heart disease based on clinical data and analyze breast tissue taking into account histological scans. When it comes to data with strictly boun

Salivary-Gland

Evaluating Support Vector Machines with Multiple Kernels by Random Searchzation abilities by the three-stage cross-validation for the reduced kernel structure is statistically comparable to or better than random search for the two-class problems and most of the multiclass problems tested.

HUMP

Automatic Interpretation of ,F-Fluorocholine PET/CT Findings in Patients with Primary Hyperparathyros (k-nearest neighbor and random forest) and deep neural networks were applied to the task of discriminating between HPTG and TG over the dataset in order to fix baseline results for the Community to challenge. Moreover, two ensemble methods are proposed that combine the aforementioned classifiers,