PROCESSES, MACHINES, AND ARTICLES OF MANUFACTURE RELATED TO PREDICTING EFFECTS OF COMBINATIONS OF ITEMS
개요
출원인
Flagship Pioneering Innovations VI, LLC
발명자
Hok Hei Tam; Varun Shivashankar; Nathan Edward Sanders; Changchang Liu; David Barry Kolesky; Duminda Sampath Ranasinghe; Fernanda Menezes Cerqueira
IPC 분류
CPC 분류
The computer system applies machine learning techniques to train a computational model using data representing researched items and their known properties. The computer system applies the trained computational model to data representing the potential candidate items to predict whether such items have such properties. The trained computational model outputs one or more predictions about whether the potential candidate items are likely to have a property from among the plurality of types of properties that the computational model is trained to predict. The property of a researched item which is known can be a combined effect of at least a first item and a second item together. The property of a predicted candidate item can be a combined effect of at least a first item and a second item.
원문 (중국어)
The computer system applies machine learning techniques to train a computational model using data representing researched items and their known properties. The computer system applies the trained computational model to data representing the potential candidate items to predict whether such items have such properties. The trained computational model outputs one or more predictions about whether the potential candidate items are likely to have a property from among the plurality of types of properties that the computational model is trained to predict. The property of a researched item which is known can be a combined effect of at least a first item and a second item together. The property of a predicted candidate item can be a combined effect of at least a first item and a second item.