abstract:Predictive learning is a technique of machine learning in which an agent tries to build a model of its environment by trying out different actions in various circumstances. It uses knowledge of the effects its actions appear to have, turning them into planning operators.
The researchers will leverage a first-of-its-kind learning and predictive analytics tool called the IBM Traffic Prediction Tool (TPT), developed by IBM Research, which continuously analyzes congestion data, commuter locations and expected travel start times throughout a metropolitan region that can affect commuters on highways, rail-lines and urban roads.
In the unstructured data world, especially text, the big trend is predictive coding or predictive analytics that identify high-risk communications, flag them for followup and use machine learning to train a data set.