Jerry R Lin

US Patent:

20050223891, Oct 13, 2005

Filed:

Mar 29, 2005

Appl. No.:

11/092345

Inventors:

Yongxian Zeng - Edison NJ, US
Divyanshu Acharya - Bridgewater NJ, US
Satish Tamhankar - Scotch Plains NJ, US
Narayanan Ramprasad - Hillsborough NJ, US
Ramakrishnan Ramachandran - Allendale NJ, US
Frank Fitch - Bedminster NJ, US
Donald MacLean - Clinton NJ, US
Jerry Lin - Scottsdale AZ, US
Richard Clarke - Abingdon, GB

International Classification:

B01D053/22
B01D059/12

US Classification:

095045000

Abstract:

Production of oxygen-enriched gas streams is disclosed herein. Air streams contact an oxygen-selective mixed conductor particularly a perovskite material whereby oxygen is retained or adsorbed on the perovskite and can be employed in a variety of processes such as in combusting a fuel gas, heat recovery and boiler related operations.

US Patent:

20190303877, Oct 3, 2019

Filed:

Mar 30, 2018

Appl. No.:

15/941501

Inventors:

- Redmond WA, US
Jerry Lin - San Jose CA, US
Erik Eugene Buchanan - Mountain View CA, US
Alexis Blevins Baird - San Francisco CA, US
Skylar Payne - Sunnyvale CA, US
Nadeem Anjum - Santa Clara CA, US

International Classification:

G06Q 10/10
G06Q 10/06

Abstract:

Systems and methods for analyzing pipelined data are disclosed. In some examples, a server receives a transaction description requesting candidates for a given transaction. The server accesses first records representing parties that fully completed the given transaction and second records representing parties that were in a pipeline for completing the given transaction but did not fully complete the given transaction. The first records and the second records are stored at a data repository. The server generates a model for predicting whether an identified record represents a party likely to complete the given transaction. The model is generated based on at least the first records and the second records. The server orders a list of third records representing parties likely to complete the given transaction. The server provides an output representing the third records.

US Patent:

20190294466, Sep 26, 2019

Filed:

Jun 10, 2019

Appl. No.:

16/436348

Inventors:

- Seattle WA, US
Jerry Lin - Palo Alto CA, US

International Classification:

G06F 9/455
H04L 29/08

Abstract:

A data volume can be created on a network-accessible storage device in a data center for use by a virtual machine instance. More specifically, a management system of the data center may request storage servers to allocate space for the data volume. Prior to receiving confirmation that the data volume has been created, the management system may further request the storage servers to establish a lease that authorizes the virtual machine access to the data volume.

US Patent:

20190188273, Jun 20, 2019

Filed:

Dec 18, 2017

Appl. No.:

15/845477

Inventors:

- Redmond WA, US
Skylar Payne - Sunnyvale CA, US
Jerry Lin - San Jose CA, US
Benjamin John McCann - Mountain View CA, US
Erik Eugene Buchanan - Mountain View CA, US

International Classification:

G06F 17/30

Abstract:

Systems and methods for query term weighting are disclosed. A server receives a search query for employment candidates, the search query comprising a set of parameters, each parameter having a weight. The server generates, from a data repository storing records associated with professionals, a first set of search results based on the set of parameters and the weights of the parameters in the set. The server transmits the first set of search results. The server receives a response to search result(s) from the first set of search results, the search result(s) being associated with a set of factors, the response indicating a level of interest in the search result(s). The server adjusts the parameters in the set of parameters or adjusts the weights of the parameters based on the response to the search result(s). The server provides an output based on the adjusted parameters or the adjusted weights.

US Patent:

20190163668, May 30, 2019

Filed:

Nov 30, 2017

Appl. No.:

15/827329

Inventors:

- Redmond WA, US
Benjamin John McCann - Mountain view CA, US
David DiCato - San Francisco CA, US
Jerry Lin - San Jose CA, US
Skylar Payne - Sunnyvale CA, US
Apoorv Khandelwal - Santa Clara CA, US
Nadeem Anjum - Santa Clara CA, US

International Classification:

G06F 15/18
G06F 17/16
G06Q 10/10

Abstract:

Systems and methods for predicting feature values in a matrix are disclosed. In example embodiments, a server accesses a matrix, the matrix having multiple dimensions, one dimension of the matrix representing features, and one dimension of the matrix representing entities. The server separates the matrix into multiple submatrices along a first dimension, each submatrix including all cells in the matrix for a set of values in the first dimension. The server provides the multiple submatrices to multiple machines. The server computes, using each machine, a correlation between values in at least one second dimension of the matrix and a value for a preselected feature in the matrix, the correlation being used to predict the value for the preselected feature based on other values along the at least one second dimension. The server provides an output representing the computed correlation.

US Patent:

20190163718, May 30, 2019

Filed:

Nov 30, 2017

Appl. No.:

15/827350

Inventors:

- Redmond WA, US
Benjamin John McCann - Mountain View CA, US
David DiCato - San Francisco CA, US
Jerry Lin - San Jose CA, US
Skylar Payne - Sunnyvale CA, US
Apoorv Khandelwal - Santa Clara CA, US
Nadeem Anjum - Santa Clara CA, US

International Classification:

G06F 17/16
G06F 17/15
G06F 17/17
G06F 17/18

Abstract:

Systems and methods for predicting feature values in a matrix are disclosed. In example embodiments, a server accesses a matrix, the matrix having multiple dimensions, one dimension of the matrix representing features, and one dimension of the matrix representing entities. The server separates the matrix into multiple submatrices along a first dimension, each submatrix including all cells in the matrix for a set of values in the first dimension. The server provides the multiple submatrices to multiple machines. The server computes, using each machine, a correlation between values in at least one second dimension of the matrix and a value for a preselected feature in the matrix, the correlation being used to predict the value for the preselected feature based on other values along the at least one second dimension. The server provides an output representing the computed correlation.

US Patent:

20190164096, May 30, 2019

Filed:

Nov 30, 2017

Appl. No.:

15/827289

Inventors:

- Redmond WA, US
Benjamin John McCann - Mountain View CA, US
David DiCato - San Francisco CA, US
Jerry Lin - San Jose CA, US
Skylar Payne - Sunnyvale CA, US
Apoorv Khandelwal - Santa Clara CA, US
Nadeem Anjum - Santa Clara CA, US

International Classification:

G06Q 10/06
G06N 5/02

Abstract:

Systems and methods for predicting feature values in a matrix are disclosed. In example embodiments, a server accesses a matrix, the matrix having multiple dimensions, one dimension of the matrix representing features, and one dimension of the matrix representing entities. The server separates the matrix into multiple submatrices along a first dimension, each submatrix including all cells in the matrix for a set of values in the first dimension. The server provides the multiple submatrices to multiple machines. The server computes, using each machine, a correlation between values in at least one second dimension of the matrix and a value for a preselected feature in the matrix, the correlation being used to predict the value for the preselected feature based on other values along the at least one second dimension. The server provides an output representing the computed correlation.

US Patent:

20190164132, May 30, 2019

Filed:

Nov 30, 2017

Appl. No.:

15/827337

Inventors:

- Redmond WA, US
Benjamin John McCann - Mountain View CA, US
David DiCato - San Francisco CA, US
Jerry Lin - San Jose CA, US
Skylar Payne - Sunnyvale CA, US
Apoorv Khandelwal - Santa Clara CA, US
Nadeem Anjum - Santa Clara CA, US

International Classification:

G06Q 10/10
G06Q 10/06

Abstract:

Systems and methods for predicting feature values in a matrix are disclosed. In example embodiments, a server accesses a matrix, the matrix having multiple dimensions, one dimension of the matrix representing features, and one dimension of the matrix representing entities. The server separates the matrix into multiple submatrices along a first dimension, each submatrix including all cells in the matrix for a set of values in the first dimension. The server provides the multiple submatrices to multiple machines. The server computes, using each machine, a correlation between values in at least one second dimension of the matrix and a value for a preselected feature in the matrix, the correlation being used to predict the value for the preselected feature based on other values along the at least one second dimension. The server provides an output representing the computed correlation.