Diabetic retinopathy (DR) is the prime cause of blindness in people who suffer from diabetes. Automation DR diagnosis could help a lot patients avoid risk by identifying disease and making judgments at an early stage. The main focus present work to propose feasible scheme severity level detection under MobileNetV3 backbone network based on multi-scale feature retinal fundus image improve classi...

Feature selection methods are often applied in the context of document classification. They are particularly important for processing large data sets that may contain millions of documents and are typically represented by a large number, possibly tens of thousands of features. Processing large data sets thus raises the issue of computational resources and we often have to find the right trade-o...

Multi-label classification is one of the important research areas in data mining. In this paper, a new multilabel classification method using multinomial naive Bayes is proposed. We use a new fine-grained weighting method for calculating the weights of feature values in multinomial naive Bayes. Our experiments show that the value weighting method could improve the performance of multinomial nai...

We present a method to decrease the storage and communication complexity of the context-tree weighting method. This method is based on combining the estimated probability of a node in the context tree and weighted probabilities of its children in one single variable. This variable is represented by its logarithm.

Music classification continues to be an important component of music information retrieval research. An underutilized tool for improving the performance of classifiers is feature weighting. A major reason for its unpopularity, despite its benefits, is the potentially infinite calculation time it requires to achieve optimal results. Genetic algorithms offer potentially sub-optimal but reasonable...

There are a wide variety of studies on player modeling. However, most of these studies target a specific game or genre. In some of these works, the number of in-game actions is used as a feature for modeling a player. However, using this feature leads to a complex model, and the model may miss some high-level relations among actions. In this paper, we propose a generic player modeling method th...