公开(公告)号：US12008446B2

公开(公告)日：2024-06-11

申请号：US17972164

申请日：2022-10-24

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: G06F15/16 ,  G06F16/22 ,  G06N5/04 ,  G06N20/00

CPC classification number: G06N20/00 ,  G06F16/2282 ,  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：US12175386B2

公开(公告)日：2024-12-24

申请号：US18339000

申请日：2023-06-21

Applicant: Howso Incorporated

Inventor： Christopher James Hazard ,  Jacob Beel ,  Yash Shah ,  Ravisutha Sakrepatna Srinivasamurthy ,  Michael Resnick

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：US12067467B2

公开(公告)日：2024-08-20

申请号：US18347408

申请日：2023-07-05

Applicant: Howso Incorporated

Inventor： Christopher James Hazard ,  Michael Resnick ,  Christopher Fusting

IPC: G06N20/00 ,  G05D1/00 ,  G06F18/2415 ,  G06N5/04 ,  G06N7/01

CPC classification number: G06N20/00 ,  G05D1/0088 ,  G05D1/0221 ,  G06F18/2415 ,  G06N5/04 ,  G06N7/01 ,  G05D1/0061

Abstract: The techniques herein include using an input context to determine a suggested action. One or more explanations may also be determined and returned along with the suggested action. The one or more 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; (x) conviction ratio; (xi) contribution ratio; and/or other measures such as the ones discussed herein, including certainty. In some embodiments, the explanation data may be used to determine whether to perform a suggested action.

公开(公告)号：US12260348B2

公开(公告)日：2025-03-25

申请号：US18364915

申请日：2023-08-03

Applicant: Howso Incorporated

Inventor： Michael Auerbach ,  Michael Resnick ,  Christopher James Hazard

IPC: G06N5/04 ,  G06F16/22 ,  G06F16/245

Abstract: Techniques for improved searching and querying in computer-based reasoning systems are discussed and include receiving multiple new multidimensional data element to store in a computer-based reasoning data model; determining a feature bucket for each feature of each data element and storing a reference identifier in the feature bucket(s). A query on the computer-based reasoning system includes input data element (e.g., an actual data element, or a set of restrictions on features). For each feature in the input data element, feature buckets are determined, candidate results are determined based on whether cases have related feature buckets, and the results are determined based at least in part on the candidate results. In some embodiments, control of controllable systems may be caused based on the results.

公开(公告)号：US20250045606A1

公开(公告)日：2025-02-06

申请号：US18926520

申请日：2024-10-25

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：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：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.