Efficiently Representing Complex Score Models

Patent №

US 9,483,236

Granted

2016-11-01

Filed 2014

Owner

FAIR ISAAC CORPORATION

Lab

AI components

2

ml · hardware

Assignment

Recorded

Dataset

AIPD

2023_r1 edition

Application

14250918

Data is received that characterizes a score model. Thereafter, the score model is normalized by transforming it into a directed acyclic graph. The directed acyclic graph is then transformed into a structured rules language program. The structured rules language program is then transformed into a program using a concurrent, class-based, object-oriented computer programming language (e.g., JAVA, C, COBOL, etc.). Related apparatus, systems, techniques and articles are also described.

Machine learningAI hardwareG06F 8/51G06F 8/31G06F 8/315G06F 8/35G06F 8/40

AI classification

AI hardware1.00
Machine learning0.96
Natural language0.37
Knowledge representation0.02
Vision0.00
Planning0.00
Evolutionary computation0.00
Speech0.00

Ownership

FAIR ISAAC CORPORATION

assignment · 326920307

Assignors

YERSHOV, ANDREI R., HOLLAND, ANDREW K.

On an employer assignment, the assignors are typically the inventors.

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