A novel algorithm weighting different importance of classes in enhanced association rulesAssociation Rule Mining (ARM)CleverminerExplainable AI (XAI)Multicriterial decisioningRare categories? 2024 The AuthorsIm
Byclassification algorithms, a class value can be explained or predicted. For many AI applications, classification is an integral part. The classification algorithms are not restricted to two classes and can be used in a variety of categories to classify objects. For instance, it gives a Yes or...
To use your own pre-trained model, specify theChannelNameas "model" in theInputDataConfigfor theCreateTrainingJobrequest. Set theContentTypefor the model channel toapplication/x-sagemaker-model. Thebackbone,algorithm,crop_size, andnum_classesinput parameters that define the network architecture must ...
For most groups (19/26), foods were distributed across at least three SENS classes. CONCLUSIONS: The SENS is a nutrition-sensitive system that discriminates foods between and within food categories. It preserves the strengths of the initial SAIN,LIM while making it operational for simplified ...
and the rest of the classes are one, the best overall accuracy is observed. Three commonly used kernels which are linear, polynomial, and radial basis functions are tested in this regard. Besides, the regularization parameter known as C is an important parameter to train an SVM model. Thus,...
However only recently the focus has shifted to exploiting low-level features to classify images automatically into semantically meaningful and broad categories. This paper presents a novel automatic color image classification algorithm. Initially the color image is divided into classes; each class is a ...
It can be binary (when there are only two classes, e.g., cats or dogs) or multi-class (when there are more than two categories to classify the values). Forecasting When you have past and present data, it’s natural that you’d want to predict the future at some point. Forecasting ...
Looking at the different parameters and categories, no clear “winner” can be seen. Within a category, the accuracy values–like for classification–do not differ much. For the category Overall, there is even no iteration of the relabel algorithm necessary in order to achieve the best accuracy...
Hybrid algorithms can be classified into two main categories: (i) combinations of two algorithms to take advantage of the local and global search capacity of both algorithms. [70, 73] thus proposed a memetic algorithm based on GA and BP, while [75] proposed a memetic PSO with BP algorithm...
In this subsection, featureselection algorithmsare classified into five classes as follows: filter, wrapper, ensemble, embedded, and hybrid classes. 4.3.1Filter algorithms Filter algorithms select several features from the entire dataset without using any learning algorithms by only employing statistical ...