James McCaffrey of Microsoft Research provides a full-code, step-by-step machine learning tutorial on how to use the LightGBM system to perform multi-class classification ... model and a 40-item set ...

In multi-output regression (multi-target, multi-variate, or multi-response regression), we aim to predict multiple real valued output variables. One simple approach may be using combination of single ...

Dr. James McCaffrey of Microsoft Research continues his four-part series on multi-class classification, designed to predict a value that can be one of three or more possible discrete values, by ...

Multi Model Server (MMS) is a flexible and easy to use tool for serving deep learning models trained using any ML/DL framework. Use the MMS Server CLI, or the pre-configured Docker images, to start a ...

Abstract: The subject of this article is devoted to the problem of object classification. It's introduces a software model for the multi-class classification of image objects based on machine learning ...

Abstract: We build a double-layer, multiple temporal-resolution classification model for decoding single-trial spatiotemporal patterns of spikes. The model takes spiking activities as input signals ...