Patents

US 12299586 B2: Hybrid machine learning model for code classification

Granted
2025-05-13
Filed
2019-09-11 application 17279439
Type
Utility · 20 claims
Elsewhere
Google Patents ↗ · USPTO patent document ↗ · USPTO Patent Center record ↗

Abstract

An embodiment involves a hybrid machine learning classifier that uses a random forest of decision tree classifiers to predict a tariff code prefix, and uses a plurality of expert trees to predict a tariff code suffix from properties related to chemical components associated with the respective tariff code prefixes. The embodiment also involves: determining a proportion of a dominant chemical component in comparison to other chemical components in a new set of chemical components; calculating similarity scores for the new set of chemical components and words associated with the tariff code prefixes; generating a feature vector from the proportion and the similarity scores; and obtaining a predicted tariff code including a predicted tariff code prefix determined by applying the random forest to the feature vector, and a predicted tariff code suffix determined by traversing a particular expert tree in accordance with properties related to the new set of chemical components.

Source: PVGPATDIS, file of 2026-04-10 (ipg250513.xml).

Assignees

AssigneeTypePlaceAlso on furp.orgSource
THE DOW CHEMICAL COMPANY 17 patentsUS company or organizationMidland, MITHE DOW CHEMICAL COMPANY Federal lobbying client EXACT high confidence: identical full name and statePVGPATDIS, file of 2026-04-10

Inventors

InventorPlacePatentsPerson pageSource
Chun-Che WangMidland, MI5PVGPATDIS, file of 2026-04-10
John M. WassickMidland, MI1PVGPATDIS, file of 2026-04-10
Vicki RothhaarMidland, MI1PVGPATDIS, file of 2026-04-10
Kalyanmoy DEBEast Lansing, MI1PVGPATDIS, file of 2026-04-10
Yashesh Deepakkumer DhebarEast Lansing, MI1PVGPATDIS, file of 2026-04-10
Erik D. GoodmanEast Lansing, MI1PVGPATDIS, file of 2026-04-10

CPC categories

SubclassCategoryFirst groupSource
G06NComputing arrangements based on specific computational modelsG06N5/01PVGPATDIS, file of 2026-04-10

Cooperative Patent Classification, as currently assigned (one row per subclass).

Assignments and security interests

No recorded assignments or security interests on file for this patent.

USPTO bulk data: PatentsView granted patents, disambiguated (PVGPATDIS) for patents, assignees, inventors, places and CPC categories; the USPTO Patent Assignment Dataset (ECORSEXC) for assignments and security interests. Patents filed in the last 20 years. No claims or full text. Links to other records are by name (and state): EXACT means the identical full name and state; FUZZY means a looser name match, with the confidence shown.