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 ...
Abstract: For few-shot object detection, this work proposes a binary similarity detector (BSDet), which realizes a novel similarity-based multiple binary classification and enhances the feature margin ...
In forecasting economic time series, statistical models often need to be complemented with a process to impose various constraints in a smooth manner. Systematically imposing constraints and retaining ...
JSON Prompting is a technique for structuring instructions to AI models using the JavaScript Object Notation (JSON) format, making prompts clear, explicit, and machine-readable. Unlike traditional ...
Binary options let investors predict asset price movements for a fixed payout. Investors know potential gain or loss upfront, simplifying risk management. Example: Predicting a stock price increase ...
👍 1 twinbrian mentioned this on Sep 27, 2024 Example notebook for classification + dry_run flag draft #1036 shihchengli linked a pull request that will close this issue Example notebook for ...
Dr. James McCaffrey from Microsoft Research presents a full-code, step-by-step tutorial on using the LightGBM tree-based system to perform binary classification (predicting a discrete variable that ...
1 Department of Computer Science, Universidad del Norte, Barranquilla, Colombia 2 Department of Industrial Engineering, Universidad del Norte, Barranquilla, Colombia Support Vector Machines (SVMs) are ...
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