公开(公告)号：US20230368085A1

公开(公告)日：2023-11-16

申请号：US17742285

申请日：2022-05-11

Applicant: SAP SE

Inventor： Mitchell Clark ,  Aseem Amitav Panda

IPC: G06Q10/04 ,  G06N5/04

CPC classification number: G06Q10/047 ,  G06N5/04 ,  G06N20/00

Abstract: Techniques and solutions are provided for predicting elements of a routing. Such elements include processing resources used in processing a set of inputs, a sequence of processing resources used in processing a set of inputs, operations performed on the inputs, a sequence of the operations, standard values associated with the operations, and how inputs are allocated to processing resources or operations. A machine learning model is trained with a set of inputs and a set of labels for one or more elements of a routing. A set of inputs for inference data is provided to the trained model and a prediction for one of the routing elements is provided. For sequence information, training data can be used to generate a probability model which can be used to obtain an inferred sequence of processing resources or operations.

公开(公告)号：US20230368086A1

公开(公告)日：2023-11-16

申请号：US17742292

申请日：2022-05-11

Applicant: SAP SE

Inventor： Mitchell Clark ,  Aseem Amitav Panda

IPC: G06Q10/04 ,  G06N5/04

CPC classification number: G06Q10/047 ,  G06N5/04 ,  G06N20/00

Abstract: Techniques and solutions are provided for determining elements of a routing. A set of inputs is obtained, where the set of inputs includes sets of one or more characteristics for respective inputs of the set of inputs. At least a portion of values for the one or more characteristics are submitted along with a set of labels to train a machine learning model. A set of inference data that includes input values for a set of one or more characteristics for inputs of the set of inference data is analyzed using the machine learning model to provide an inference result. The inference result provides a predicted set of labels associated with a routing element of a routing involving the set of inference data. Using characteristics values can provide more accurate inference results and can allow a greater portion of data to be used as training data.

公开(公告)号：US20230367303A1

公开(公告)日：2023-11-16

申请号：US17742288

申请日：2022-05-11

Applicant: SAP SE

Inventor： Mitchell Clark ,  Aseem Amitav Panda

IPC: G05B19/418 ,  G06N5/04 ,  G06N20/00

CPC classification number: G05B19/4189 ,  G06N5/04 ,  G06N20/00 ,  G05B2219/31266

Abstract: Techniques and solutions are provided for encoding information for sets, including sets whose elements are arranged in a hierarchy. Values are defined for different levels of a hierarchy, where the values increase or decrease from a root of the hierarchy. A flattened representation of the hierarchy is generated by multiplying element values by a level value for a level at which a respective element is located. Values for parent and leaf nodes are defined, and a flattened representation of the hierarchy is generated by multiple elements values by the parent value or the leaf node value, depending on whether a respective elements is a parent or leaf node. Quantity values for a set of elements are encoded by adding a quantity of a given element to a value assigned to elements of a set definition that are present in a set.