Data inclusion in computer-based reasoning models

This invention describes a method for computer systems to intelligently select which data points to include in their reasoning models. It works by calculating a 'conviction score' for each piece of data, which measures its importance or contribution, and then uses this score to decide whether to add or remove that data. This process helps create more balanced and efficient models, particularly for tasks like identifying objects in images or controlling self-driving vehicles.

Why it matters: Filed before the widespread adoption of large-scale AI models, this invention's focus on efficient data selection and balancing is now critical for managing the vast and complex datasets required by modern machine learning, especially for applications like self-driving cars and advanced image recognition.

Status: Not in forceListed as no longer active. The specific reason is not in the record we hold.
How hard to build: SpecializedSoftware logic, machine learning algorithms

3 AI reinvention directions for this patent

See all three

AI gives you a few directions you could take this. Pick one, and we check whether your version is different enough to patent, then write the filing.

Reinvent this with AI

Where this one came from

Every morning we go through millions of abandoned patents and pick out 15 worth your time. This was one of today’s.

This one

+10