MODEL PRODUCTIZATION ASSESSMENT
Granted: May 11, 2023
Application Number:
20230143666
Various embodiments are provided for improving machine learning model integration using one or more processors in a computing system. One or more artifacts of one or more machine learning models may be inspected. A degree of compatibility may be determined between the one or more machine learning models and an application based on inspecting the one or more artifacts. One or more adjustments may be recommended to the one or more artifacts based on the degree of compatibility for…
ADAPTIVE QUANTUM CIRCUIT CONSTRUCTION FOR MULTIPLE-CONTROLLED-NOT GATES
Granted: May 11, 2023
Application Number:
20230142419
In an embodiment, a method includes measuring a first number of control qubits in a quantum algorithm, wherein a quantum circuit representation of the quantum algorithm includes a multiple-controlled-NOT gate. In an embodiment, a method includes measuring a second number of ancilla qubits in a quantum computer. In an embodiment, a method includes comparing the first number and the second number to determine an optimum compilation method for a quantum circuit. In an embodiment, a method…
MODEL PRODUCTIZATION ASSESSMENT
Granted: May 11, 2023
Application Number:
20230143666
Various embodiments are provided for improving machine learning model integration using one or more processors in a computing system. One or more artifacts of one or more machine learning models may be inspected. A degree of compatibility may be determined between the one or more machine learning models and an application based on inspecting the one or more artifacts. One or more adjustments may be recommended to the one or more artifacts based on the degree of compatibility for…
VISUALIZATION AND EXPLORATION OF PROBABILISTIC MODELS FOR MULTIPLE INSTANCES
Granted: May 11, 2023
Application Number:
20230147643
Embodiments facilitating data exploration in a computing environment by a processor. A multidimensional dataset may be received. The multidimensional dataset may be processed according to booting operation parameters. A visualization and exploration of an interactive representation of one or more probabilistic models for each one of a set of instances using the multidimensional dataset.
SCENE RECOGNITION BASED NATURAL LANGUAGE TRANSLATION
Granted: May 4, 2023
Application Number:
20230140570
From an input image comprising a portion of text, the portion of text is extracted. The portion of text comprises text in a first natural language. The input image is classified into a candidate scene within a set of predefined scenes. The candidate scene is scored according to a quality measure. Using a predefined scene parameter of the scored candidate scene, the portion of text is translated. In the input image, the portion of text is replaced. with the translated portion of text.
MULTI PURPOSE SERVER CACHE DIRECTORY
Granted: May 4, 2023
Application Number:
20230133372
A multi-purpose server cache directory in a computing environment is provided. One of a plurality of operation modes may be selectively enabled or disabled, by a cache directory, based on a computation phase, data type, and data pattern for caching data in a cache having a plurality of address tags in the cache directory greater than a number of data lines in a cache array.
CLASSIFIER PROCESSING USING MULTIPLE BINARY CLASSIFIER STAGES
Granted: May 4, 2023
Application Number:
20230139437
An embodiment generates a training batch of data points from training data for a plurality of classes and builds a multi-class classifier having a series of binary classifiers arranged in a first order. Each of the binary classifiers is associated with a respective class. The embodiment trains the multi-class classifier with the binary classifiers arranged in a first order and, at each binary classifier, the embodiment identifies data points as belonging to the class associated with the…
USING LEARNED PHYSICAL KNOWLEDGE TO GUIDE FEATURE ENGINEERING
Granted: May 4, 2023
Application Number:
20230139396
Embodiments for using learned physical knowledge to guide feature engineering in a computing environment by a processor. Physical knowledge data associated with a dataset may be learned. The physical knowledge data may be translated into a plurality of features for one or more automated feature engineering models to execute for one or more prediction and monitoring operations, wherein the plurality of features represent relationships between the physical knowledge data.
VERSION BASED MODEL RESULT EXPLAINABILITY
Granted: May 4, 2023
Application Number:
20230138343
A first version of a model specified by a model execution request is executed, producing a first execution result. A second version of the model is selected according to an input data attribute specified by the model execution request. The second version of the model is executed, producing a first execution result. Using a natural language processing engine, responsive to the first execution result and the second execution result differing by more than a threshold amount, a natural…
DATA ALLOCATION WITH USER INTERACTION IN A MACHINE LEARNING SYSTEM
Granted: May 4, 2023
Application Number:
20230136461
Various embodiments are provided for providing enhanced data allocation for machine learning operations in a computing environment by one or more processors in a computing system. One or more data sampling strategies may be determined based on a dataset. One or more enhanced training data allocations may be suggested for machine learning operations in a cloud computing environment based on the one or more data sampling strategies.
BUCKETING RECORDS USING TEMPORAL POINT PROCESSES
Granted: May 4, 2023
Application Number:
20230135407
An embodiment establishes a designated attribute value as a semantic criterion for grouping records in a bucket, identifies a first set of records having attribute values that satisfy the semantic criterion, and adds the first set of records to the bucket. The embodiment detects that the first set of records represent a first series of events that occurred in succession at respective times. The embodiment derives a temporal attribute value representative of a time pattern formed by the…
REASONABLE LANGUAGE MODEL LEARNING FOR TEXT GENERATION FROM A KNOWLEDGE GRAPH
Granted: May 4, 2023
Application Number:
20230134798
Embodiments are provided for generating a reasonable language model learning for text data in a knowledge graph in a computing system by a processor. One or more data sources and one or more triples may be analyzed from a knowledge graph. Training data having one or more candidate labels associated with one or more of the triples may be generated. One or more reasonable language models may be trained based on the training data.
MULTI PURPOSE SERVER CACHE DIRECTORY
Granted: May 4, 2023
Application Number:
20230133372
A multi-purpose server cache directory in a computing environment is provided. One of a plurality of operation modes may be selectively enabled or disabled, by a cache directory, based on a computation phase, data type, and data pattern for caching data in a cache having a plurality of address tags in the cache directory greater than a number of data lines in a cache array.
SCENE RECOGNITION BASED NATURAL LANGUAGE TRANSLATION
Granted: May 4, 2023
Application Number:
20230140570
From an input image comprising a portion of text, the portion of text is extracted. The portion of text comprises text in a first natural language. The input image is classified into a candidate scene within a set of predefined scenes. The candidate scene is scored according to a quality measure. Using a predefined scene parameter of the scored candidate scene, the portion of text is translated. In the input image, the portion of text is replaced. with the translated portion of text.
CLASSIFIER PROCESSING USING MULTIPLE BINARY CLASSIFIER STAGES
Granted: May 4, 2023
Application Number:
20230139437
An embodiment generates a training batch of data points from training data for a plurality of classes and builds a multi-class classifier having a series of binary classifiers arranged in a first order. Each of the binary classifiers is associated with a respective class. The embodiment trains the multi-class classifier with the binary classifiers arranged in a first order and, at each binary classifier, the embodiment identifies data points as belonging to the class associated with the…
USING LEARNED PHYSICAL KNOWLEDGE TO GUIDE FEATURE ENGINEERING
Granted: May 4, 2023
Application Number:
20230139396
Embodiments for using learned physical knowledge to guide feature engineering in a computing environment by a processor. Physical knowledge data associated with a dataset may be learned. The physical knowledge data may be translated into a plurality of features for one or more automated feature engineering models to execute for one or more prediction and monitoring operations, wherein the plurality of features represent relationships between the physical knowledge data.
VERSION BASED MODEL RESULT EXPLAINABILITY
Granted: May 4, 2023
Application Number:
20230138343
A first version of a model specified by a model execution request is executed, producing a first execution result. A second version of the model is selected according to an input data attribute specified by the model execution request. The second version of the model is executed, producing a first execution result. Using a natural language processing engine, responsive to the first execution result and the second execution result differing by more than a threshold amount, a natural…
DATA ALLOCATION WITH USER INTERACTION IN A MACHINE LEARNING SYSTEM
Granted: May 4, 2023
Application Number:
20230136461
Various embodiments are provided for providing enhanced data allocation for machine learning operations in a computing environment by one or more processors in a computing system. One or more data sampling strategies may be determined based on a dataset. One or more enhanced training data allocations may be suggested for machine learning operations in a cloud computing environment based on the one or more data sampling strategies.
BUCKETING RECORDS USING TEMPORAL POINT PROCESSES
Granted: May 4, 2023
Application Number:
20230135407
An embodiment establishes a designated attribute value as a semantic criterion for grouping records in a bucket, identifies a first set of records having attribute values that satisfy the semantic criterion, and adds the first set of records to the bucket. The embodiment detects that the first set of records represent a first series of events that occurred in succession at respective times. The embodiment derives a temporal attribute value representative of a time pattern formed by the…
REASONABLE LANGUAGE MODEL LEARNING FOR TEXT GENERATION FROM A KNOWLEDGE GRAPH
Granted: May 4, 2023
Application Number:
20230134798
Embodiments are provided for generating a reasonable language model learning for text data in a knowledge graph in a computing system by a processor. One or more data sources and one or more triples may be analyzed from a knowledge graph. Training data having one or more candidate labels associated with one or more of the triples may be generated. One or more reasonable language models may be trained based on the training data.
