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name:-0.010155916213989
name:-0.0065321922302246
name:-0.0043129920959473
Sharanhovich; Uladzislau Patent Filings

Sharanhovich; Uladzislau

Patent Applications and Registrations

Patent applications and USPTO patent grants for Sharanhovich; Uladzislau.The latest application filed is for "randomized method for improving approximations for nonlinear support vector machines".

Company Profile
3.5.8
  • Sharanhovich; Uladzislau - San Jose CA
*profile and listings may contain filings by different individuals or companies with the same name. Review application materials to confirm ownership/assignment.
Patent Activity
PatentDate
Randomized Method For Improving Approximations For Nonlinear Support Vector Machines
App 20220284245 - Golovashkin; Dmitry V. ;   et al.
2022-09-08
Forming An Artificial Neural Network By Generating And Forming Of Tunnels
App 20200272904 - GOLOVASHKIN; DMITRY ;   et al.
2020-08-27
Accelerated Tr-l-bfgs Algorithm For Neural Network
App 20200034713 - Golovashkin; Dmitry ;   et al.
2020-01-30
Accelerated TR-L-BFGS algorithm for neural network
Grant 10,467,528 - Golovashkin , et al. No
2019-11-05
Sharing data structures between processes by semi-invasive hybrid approach
Grant 9,990,303 - Sharanhovich , et al. June 5, 2
2018-06-05
Approach for more efficient use of computing resources while calculating cross product or its approximation for logistic regression on big data sets
Grant 9,870,342 - Golovashkin , et al. January 16, 2
2018-01-16
Sharing Data Structures Between Processes By Semi-invasive Hybrid Approach
App 20170344488 - SHARANHOVICH; ULADZISLAU ;   et al.
2017-11-30
Approach For More Efficient Use Of Computing Resources While Calculating Cross Product Or Its Approximation For Logistic Regression On Big Data Sets
App 20170286365 - Golovashkin; Dmitry ;   et al.
2017-10-05
Sharing data structures between processes by semi-invasive hybrid approach
Grant 9,740,626 - Sharanhovich , et al. August 22, 2
2017-08-22
Approach for more efficient use of computing resources while calculating cross product or its approximation for logistic regression on big data sets
Grant 9,715,481 - Golovashkin , et al. July 25, 2
2017-07-25
Accelerated Tr-l-bfgs Algorithm For Neural Network
App 20170046614 - Golovashkin; Dmitry ;   et al.
2017-02-16
Sharing Data Structures Between Processes By Semi-invasive Hybrid Approach
App 20170046270 - Sharanhovich; Uladzislau ;   et al.
2017-02-16
Approach For More Efficient Use Of Computing Resources While Calculating Cross Product Or Its Approximation For Logistic Regression On Big Data Sets
App 20150378962 - Golovashkin; Dmitry ;   et al.
2015-12-31

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