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Cybersecurity Incident Response and Security Operation System Employing Playbook Generation Through Custom Machine Learning

Номер патента: US20200052973A1
Опубликовано: 13-02-2020
Автор(ы): Forte Dario Valentino, Letal Vojtech, Zambelli Michele
Принадлежит: DFLabs S.p.A.
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Machine learning for generative geometric modelling

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Automated machine learning system

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Dynamic client/server selection for machine learning execution based on current performance characteristics

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Storage device predicting failure using machine learning and method of operating the same

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Computer-based systems, computing components and computing objects configured to implement dynamic outlier bias reduction in machine learning models

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Video-based analysis of stapling events during a surgical procedure using machine learning

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Executing unsupervised pre-training tasks with a machine learning model to predict document graph attributes

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Machine learning apparatus for learning operation conditions of cooling device, motor control apparatus and motor control system having the machine learning apparatus, and machine learning method

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Reducing substrate surface scratching using machine learning

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Method for selecting state of a reconfigurable antenna in a communication system via machine learning

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Machine learning data generation method, meta-learning method, machine learning data generation apparatus, and program

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Machine learning data generation method, meta learning method, machine learning data generation device, and program

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Instruction Fine-Tuning Machine-Learned Models Using Intermediate Reasoning Steps

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System and method for automating bedside infection audits using machine learning

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Machine-learned operating system and processor

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Sharing and executing custom machine learning algorithms

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Incident response system

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Operation system, operation method and operation program

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Machine learning model for automatically detecting faults using optical inspection

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Automatic problem assessment in machine learning system

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User equipment, base station, and wireless communication methods based on machine learning/artificial intelligence

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Federated Learning in Machine Learning

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Trust related management of artificial intelligence or machine learning pipelines in relation to adversarial robustness

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Learning coach for machine learning system

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Framework for a machine learning model and/or machine learning application adaptation for a target in a communications network

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Federated teacher-student machine learning

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Learning coach for machine learning system

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Federated teacher-student machine learning

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Personalized machine learning on mobile computing devices

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Systems and methods for machine learning model training and deployment

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Computer-readable recording medium storing machine learning program, machine learning method, and machine learning device

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Systems and methods for machine learning model management

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Trust related management of artificial intelligence or machine learning pipelines in relation to adversarial robustness

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System, Method, and Computer Program Product for Time-Based Ensemble Learning Using Supervised and Unsupervised Machine Learning Models

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Digital therapeutic method and system employing nutritional cognitive behavioral therapy

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Evolved machine learning models

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Allocation of machine learning resource

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Distributed learning machine learning models for personalization

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Hybrid machine learning methods of training and using models to predict formulation properties

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System and method for machine learning modeling and estimation of loss

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Central technical component for generating an aggregated updated machine learning parameter

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Confidential tuning of pre-trained machine learning models

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Hybrid machine learning architecture for visual content processing and uses thereof

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Automated progressive tuning of machine-learning model for fault localization in overhead transmission line

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Speech enhancement machine learning model for estimation of reverberation in a multi-task learning framework

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Device, system, and method for reducing machine learning bias in machine learning generated textual lists of time-stamped events

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Deploying simplified machine learning models to resource-constrained edge devices

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Machine learning device and environment adjustment device

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Machine-learning model for predictive plant breeding using phenomic selection to predict grain composition

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ISML- Stock Prices Predictor: Intelligent Stock Prices Predictor Using Machine Learning

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Transfer knowledge from auxiliary data for more inclusive machine learning models

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Methods, apparatus and machine-readable mediums relating to machine learning models

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Machine learning device that learns shocks to teaching device, shock prevention system of teaching device, and machine learning method

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Method for training a machine learning model

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Source selection based on diversity for machine learning

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Номер патента: US20120000350A1. Автор: . Владелец: . Дата публикации: 2012-01-05.

Computer-based systems, computing components and computing objects configured to implement dynamic outlier bias reduction in machine learning models

Номер патента: AU2021343372B2. Автор: Richard B. Jones. Владелец: Hartford Steam Boiler Inspection and Insurance Co. Дата публикации: 2024-09-26.

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