Invention Grant
- Patent Title: Machine learning resource allocator
-
Application No.: US15882948Application Date: 2018-01-29
-
Publication No.: US10069759B1Publication Date: 2018-09-04
- Inventor: Sameer Vadera , Katherine S. Gaudry , Thomas D. Franklin
- Applicant: Sameer Vadera , Katherine S. Gaudry , Thomas D. Franklin
- Applicant Address: US CO Englewood
- Assignee: TRIANGLE IP, INC.
- Current Assignee: TRIANGLE IP, INC.
- Current Assignee Address: US CO Englewood
- Agency: Kilpatrick Townsend & Stockton LLP
- Main IPC: G06F15/173
- IPC: G06F15/173 ; H04L12/911 ; G06N99/00 ; H04L12/26 ; H04L12/24 ; G06N5/04

Abstract:
A method and system for allocation of resources is disclosed. Authenticated and unauthenticated data sources are mined to determine event vectors from a large number of cases that follow a branched processing model. A current event vector is compared to the mined event vectors with machine learning to predict future nodes for the current event vector. Historical resource allocations for the mined event vectors are used to determine resource allocation for the current event vector over time.
Information query