词条 | Time aware long short-term memory |
释义 |
}}Time Aware LSTM (T-LSTM) is a long short-term memory (LSTM) unit capable of handling irregular time intervals in longitudinal patient records. T-LSTM was developed by researchers from Michigan State University, IBM Research, and Cornell University and was first presented in the Knowledge Discovery and Data Mining (KDD) conference.[1] Experiments using real and synthetic data proved that T-LSTM auto-encoder outperformed widely used frameworks including LSTM and MF1-LSTM auto-encoders.{{Citation needed|date=April 2018}} References1. ^{{cite web|url=http://www.kdd.org/kdd2017/papers/view/patient-subtyping-via-time-aware-lstm-networks|title=Patient Subtyping via Time-Aware LSTM Networks|first=KDD|last=Organizers|website=www.kdd.org}} {{Comp-sci-stub}} 1 : Artificial neural networks |
随便看 |
|
开放百科全书收录14589846条英语、德语、日语等多语种百科知识,基本涵盖了大多数领域的百科知识,是一部内容自由、开放的电子版国际百科全书。