US Patent Application 18249772. POINT PROCESS LEARNING METHOD, POINT PROCESS LEARNING APPARATUS AND PROGRAM simplified abstract
Contents
POINT PROCESS LEARNING METHOD, POINT PROCESS LEARNING APPARATUS AND PROGRAM
Organization Name
NIPPON TELEGRAPH AND TELEPHONE CORPORATION
Inventor(s)
Yoshiaki Takimoto of Tokyo (JP)
Takeshi Kurashima of Tokyo (JP)
POINT PROCESS LEARNING METHOD, POINT PROCESS LEARNING APPARATUS AND PROGRAM - A simplified explanation of the abstract
This abstract first appeared for US patent application 18249772 titled 'POINT PROCESS LEARNING METHOD, POINT PROCESS LEARNING APPARATUS AND PROGRAM
Simplified Explanation
The patent application describes a computer-based method for learning patterns in a series of events, called a point process.
- The method involves inputting a dataset of event occurrences, specifically a series of first events.
- The dataset is then divided based on a prediction time observation area, which includes the time series used for predicting future event occurrences.
- Finally, a model parameter, specifically the intensity function parameter of a predetermined point process model, is learned using the divided dataset.
Original Abstract Submitted
According to an embodiment, a point process learning method executed by a computer includes: an input procedure of inputting a learning data set including at least first event data representing a series of occurrences of first events; a division procedure of dividing the first event data included in the learning data set by using a prediction time observation area including at least a time series when predicting future event occurrence; and a learning procedure of learning a model parameter including a parameter of an intensity function of a predetermined point process model by using a divided learning data set divided in the division procedure.
