JTokkit aims to be a fast and efficient tokenizer designed for use in natural language processing tasks using the OpenAI models. It provides an easy-to-use interface for tokenizing input text, for ...

Abstract: Unsupervised hashing methods have attracted widespread attention with the explosive growth of large-scale data, which can greatly reduce storage and computation by learning compact binary ...

Abstract: Feature selection in a traditional binary classification algorithm is always used in the stage of dataset preprocessing, which makes the obtained features not necessarily the best ones for ...