公开(公告)号：US12198069B2

公开(公告)日：2025-01-14

申请号：US18493524

申请日：2023-10-24

Applicant: Howso Incorporated

Inventor： Christopher James Hazard

IPC: G06N5/02 ,  G06F16/2458 ,  G06N5/025

Abstract: Techniques are provided herein. The techniques can include obtaining current context data and determining a contextually-determined action based on the obtained context data and a reasoning model. The reasoning model may have been determined based on one or more sets of training data. The techniques may cause performance of the contextually-determined action and, potentially, receiving an indication that performing the contextually-determined action in the current context resulted in an anomaly. The techniques include determining a portion of the reasoning model that caused the determination of the contextually-determined action based on the obtained context data and causing removal of the portion of the model that caused the determination of the contextually-determined action, to produce a corrected reasoning model. Subsequently, second context data is obtained, a second action is determined based on that data and the corrected reasoning model, and the second contextually-determined action can be performed.

公开(公告)号：US12154041B2

公开(公告)日：2024-11-26

申请号：US18298166

申请日：2023-04-10

Applicant: Howso Incorporated

Inventor： Christopher James Hazard ,  Michael Resnick ,  Christopher Fusting

IPC: G06F15/16 ,  G06N5/04 ,  G06N20/00

Abstract: Techniques for synthetic data generation in computer-based reasoning systems are discussed and include receiving a request for generation of synthetic data based on a set of training data cases. One or more focal training data cases are determined. For undetermined features (either all of them or those that are not subject to conditions), a value for the feature is determined based on the focal cases. In some embodiments, the generated synthetic data may be checked for similarity against the training data, and if similarity conditions are met, it may be modified (e.g., resampled), removed, and/or replaced.

公开(公告)号：US20240386323A1

公开(公告)日：2024-11-21

申请号：US18651263

申请日：2024-04-30

Applicant: Howso Incorporated

Inventor： Christopher James Hazard ,  Michael Resnick ,  Ravisutha Sakrepatna Srinivasamurthy ,  David R. Cheeseman ,  Valeri A. Korobov ,  Martin James Koistinen ,  Matthew Chase Fulp

IPC: G06N20/00 ,  G06F16/22 ,  G06N5/04

Abstract: Techniques for synthetic data generation in computer-based reasoning systems are discussed and include receiving a request for generation of synthetic data based on a set of training data cases. One or more focal training data cases are determined. For undetermined features (either all of them or those that are not subject to conditions), a value for the feature is determined based on the focal cases. In some embodiments, the generation of synthetic data may be conditioned on values of features, preserved features, such as unique identifiers, previous-in-time features, and using the other techniques discussed herein.

公开(公告)号：US12141714B2

公开(公告)日：2024-11-12

申请号：US18483294

申请日：2023-10-09

Applicant: Howso Incorporated

Inventor： Christopher James Hazard ,  Michael Resnick ,  Christopher Fusting

IPC: G06N5/04

Abstract: The techniques herein include using an input context to determine a suggested action and/or cluster. Explanations may also be determined and returned along with the suggested action. The explanations may include (i) one or more most similar cases to the suggested case (e.g., the case associated with the suggested action) and, optionally, a conviction score for each nearby cases; (ii) action probabilities, (iii) excluding cases and distances, (iv) archetype and/or counterfactual cases for the suggested action; (v) feature residuals; (vi) regional model complexity; (vii) fractional dimensionality; (viii) prediction conviction; (ix) feature prediction contribution; and/or other measures such as the ones discussed herein, including certainty. The explanation data may be used to determine whether to perform a suggested action.

公开(公告)号：US20240265484A1

公开(公告)日：2024-08-08

申请号：US18420417

申请日：2024-01-23

Applicant: Howso Incorporated

Inventor： Christopher James Hazard

IPC: G06T1/00

CPC classification number: G06T1/0028

Abstract: Techniques for digital watermarking of data are provided herein. The techniques include receiving a request for digitally watermarking a set of data, determining uncertainty related to the set of data, determining an watermarking layout for the set of data, generating a watermarked set of data based at least in part on encoding the digital watermark using the watermarking layout, optionally testing the watermark for fitness, and causing control of a controllable system using a computer-based reasoning model that was determined at least in part based on data cases in the watermarked set of data.

公开(公告)号：US20240119317A1

公开(公告)日：2024-04-11

申请号：US18483294

申请日：2023-10-09

Applicant: Howso Incorporated

Inventor： Christopher James Hazard ,  Michael Resnick ,  Christopher Fusting

IPC: G06N5/04

CPC classification number: G06N5/04

Abstract: The techniques herein include using an input context to determine a suggested action and/or cluster. Explanations may also be determined and returned along with the suggested action. The explanations may include (i) one or more most similar cases to the suggested case (e.g., the case associated with the suggested action) and, optionally, a conviction score for each nearby cases; (ii) action probabilities, (iii) excluding cases and distances, (iv) archetype and/or counterfactual cases for the suggested action; (v) feature residuals; (vi) regional model complexity; (vii) fractional dimensionality; (viii) prediction conviction; (ix) feature prediction contribution; and/or other measures such as the ones discussed herein, including certainty. The explanation data may be used to determine whether to perform a suggested action.