History information in director-based database system for transactional consistency
PJ Helland - US Patent 12,061,526, 2024 - Google Patents
Techniques are disclosed relating to a database system includes worker nodes operable to
perform transactions and director nodes operable to ensure transactional consistency for the …
perform transactions and director nodes operable to ensure transactional consistency for the …
Using neural network and score weighing to incorporate contextual data in sentiment analysis
KV Prasad, MS Lloyd, SS Nandula, A Gande… - US Patent …, 2021 - Google Patents
An artificial neural network (ANN) determines a conversation snippet sentiment score based
on content of the conversation snippet and contextual attributes associated with the …
on content of the conversation snippet and contextual attributes associated with the …
Time proposals in director-based database system for transactional consistency
PJ Helland - US Patent App. 17/342,310, 2022 - Google Patents
Techniques are disclosed relating to a database system includes worker nodes operable to
perform transactions and director nodes operable to ensure transactional consistency for the …
perform transactions and director nodes operable to ensure transactional consistency for the …
Machine learning techniques for natural language processing using predictive entity scoring
NH Funk, ED Tryon, AL Jensen, S Ponnala… - US Patent …, 2023 - Google Patents
There is a need for more accurate and more efficient natural language solutions with greater
semantic intelligence. This need can be addressed, for example, by natural language …
semantic intelligence. This need can be addressed, for example, by natural language …
Offline evaluation of machine learning models with noise reduction
JCH Munuera, R Rizia, VN Hegde… - US Patent …, 2023 - Google Patents
Methods, systems, and computer-readable media for offline evaluation of machine learning
models with noise reduction are disclosed. A trigger computation system generates a …
models with noise reduction are disclosed. A trigger computation system generates a …
Dual model incremental learning
J Xu, SE Han, JH Yang, XY Zhang, R Wang - US Patent 11,727,269, 2023 - Google Patents
In an approach to efficient model adjustment utilizing a dual model system, one or more
computer processors create a subset of a dataset utilizing a trained primary model; create a …
computer processors create a subset of a dataset utilizing a trained primary model; create a …
Representing confidence in natural language processing
J Goodsitt, A Walters, A Truong - US Patent 11,720,753, 2023 - Google Patents
Methods, systems, and computing devices for visualizing natural language processing
algorithm processes are described herein. A plurality of categories may be determined …
algorithm processes are described herein. A plurality of categories may be determined …
Testing computer program accessibility for users with disabilities, such as for use with mobile phones
CR Triplett - US Patent 11,860,767, 2024 - Google Patents
Disclosed here is a system to enable interaction between a user with a disability and a
computer program. The system can obtain a representation of a user interface to present to a …
computer program. The system can obtain a representation of a user interface to present to a …
Machine learning techniques for natural language processing using predictive entity scoring
NH Funk, ED Tryon, AL Jensen, S Ponnala… - US Patent …, 2024 - Google Patents
There is a need for more accurate and more efficient natural language solutions with greater
semantic intelligence. This need can be addressed, for example, by natural language …
semantic intelligence. This need can be addressed, for example, by natural language …
System and method for maximizing processor and server use
NL Post, BJ Osterkamp, IIWP Culbertson… - US Patent …, 2023 - Google Patents
A system and method for operating fewer servers near maximum capacity as opposed to
operating more servers at low capacity is disclosed. Computational tasks are made as small …
operating more servers at low capacity is disclosed. Computational tasks are made as small …