Search

Wilbert L. Starks

Examiner (ID: 3440, Phone: (571)272-3691 , Office: P/2122 )

Most Active Art Unit
2122
Art Unit(s)
2121, 2122, 2129, 2762
Total Applications
1591
Issued Applications
1182
Pending Applications
181
Abandoned Applications
240

Applications

Application numberTitle of the applicationFiling DateStatus
Array ( [id] => 17659785 [patent_doc_number] => 20220180250 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2022-06-09 [patent_title] => PROCESSING DYNAMIC DATA WITHIN AN ADAPTIVE ORACLE-TRAINED LEARNING SYSTEM USING DYNAMIC DATA SET DISTRIBUTION OPTIMIZATION [patent_app_type] => utility [patent_app_number] => 17/528514 [patent_app_country] => US [patent_app_date] => 2021-11-17 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 11808 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -17 [patent_words_short_claim] => 2 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 17528514 [rel_patent_id] =>[rel_patent_doc_number] =>)
17/528514
PROCESSING DYNAMIC DATA WITHIN AN ADAPTIVE ORACLE-TRAINED LEARNING SYSTEM USING DYNAMIC DATA SET DISTRIBUTION OPTIMIZATION Nov 16, 2021 Pending
Array ( [id] => 20746091 [patent_doc_number] => 12646005 [patent_country] => US [patent_kind] => B2 [patent_issue_date] => 2026-06-02 [patent_title] => Optimized prediction of tree ensemble [patent_app_type] => utility [patent_app_number] => 17/519156 [patent_app_country] => US [patent_app_date] => 2021-11-04 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 10 [patent_figures_cnt] => 11 [patent_no_of_words] => 4742 [patent_no_of_claims] => 17 [patent_no_of_ind_claims] => 3 [patent_words_short_claim] => 362 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => patent [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 17519156 [rel_patent_id] =>[rel_patent_doc_number] =>)
17/519156
Optimized prediction of tree ensemble Nov 3, 2021 Issued
Array ( [id] => 18349321 [patent_doc_number] => 20230137432 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2023-05-04 [patent_title] => HYBRID MACHINE LEARNING TECHNIQUES USING CO-OCCURRENCE-BASED REPRESENTATIONS AND TEMPORAL REPRESENTATIONS [patent_app_type] => utility [patent_app_number] => 17/453061 [patent_app_country] => US [patent_app_date] => 2021-11-01 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 16723 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -17 [patent_words_short_claim] => 272 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 17453061 [rel_patent_id] =>[rel_patent_doc_number] =>)
17/453061
HYBRID MACHINE LEARNING TECHNIQUES USING CO-OCCURRENCE-BASED REPRESENTATIONS AND TEMPORAL REPRESENTATIONS Oct 31, 2021 Pending
Array ( [id] => 18340112 [patent_doc_number] => 20230132061 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2023-04-27 [patent_title] => INFORMATION EXTRACTION FROM DOCUMENT CORPORA [patent_app_type] => utility [patent_app_number] => 17/508117 [patent_app_country] => US [patent_app_date] => 2021-10-22 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 9436 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -17 [patent_words_short_claim] => 132 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 17508117 [rel_patent_id] =>[rel_patent_doc_number] =>)
17/508117
INFORMATION EXTRACTION FROM DOCUMENT CORPORA Oct 21, 2021 Pending
Array ( [id] => 17535885 [patent_doc_number] => 20220114494 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2022-04-14 [patent_title] => MODEL-AGNOSTIC APPROACH TO INTERPRETING SEQUENCE PREDICTIONS [patent_app_type] => utility [patent_app_number] => 17/500310 [patent_app_country] => US [patent_app_date] => 2021-10-13 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 8395 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -17 [patent_words_short_claim] => 119 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 17500310 [rel_patent_id] =>[rel_patent_doc_number] =>)
17/500310
MODEL-AGNOSTIC APPROACH TO INTERPRETING SEQUENCE PREDICTIONS Oct 12, 2021 Pending
Array ( [id] => 17358814 [patent_doc_number] => 20220019610 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2022-01-20 [patent_title] => MINING TEXTUAL FEEDBACK [patent_app_type] => utility [patent_app_number] => 17/491625 [patent_app_country] => US [patent_app_date] => 2021-10-01 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 9436 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -17 [patent_words_short_claim] => 59 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 17491625 [rel_patent_id] =>[rel_patent_doc_number] =>)
17/491625
Mining textual feedback Sep 30, 2021 Issued
Array ( [id] => 19686862 [patent_doc_number] => 20250005407 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2025-01-02 [patent_title] => ONLINE MATCHING OPTIMIZATION DEVICE, METHOD AND PROGRAM [patent_app_type] => utility [patent_app_number] => 18/696380 [patent_app_country] => US [patent_app_date] => 2021-09-29 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 5475 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -3 [patent_words_short_claim] => 182 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 18696380 [rel_patent_id] =>[rel_patent_doc_number] =>)
18/696380
ONLINE MATCHING OPTIMIZATION DEVICE, METHOD AND PROGRAM Sep 28, 2021 Pending
Array ( [id] => 18285092 [patent_doc_number] => 20230100564 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2023-03-30 [patent_title] => IMPLICIT VECTOR CONCATENATION WITHIN 2D MESH ROUTING [patent_app_type] => utility [patent_app_number] => 17/488827 [patent_app_country] => US [patent_app_date] => 2021-09-29 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 6721 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -18 [patent_words_short_claim] => 162 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 17488827 [rel_patent_id] =>[rel_patent_doc_number] =>)
17/488827
Implicit vector concatenation within 2D mesh routing Sep 28, 2021 Issued
Array ( [id] => 17508031 [patent_doc_number] => 20220101134 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2022-03-31 [patent_title] => DEEP NEURAL NETWORK TRAINING METHOD AND SYSTEM, AND CAUSALITY DISCOVERY METHOD [patent_app_type] => utility [patent_app_number] => 17/488812 [patent_app_country] => US [patent_app_date] => 2021-09-29 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 7844 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -17 [patent_words_short_claim] => 199 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 17488812 [rel_patent_id] =>[rel_patent_doc_number] =>)
17/488812
DEEP NEURAL NETWORK TRAINING METHOD AND SYSTEM, AND CAUSALITY DISCOVERY METHOD Sep 28, 2021 Pending
Array ( [id] => 18285029 [patent_doc_number] => 20230100501 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2023-03-30 [patent_title] => DYNAMICALLY GENERATED KNOWLEDGE GRAPHS [patent_app_type] => utility [patent_app_number] => 17/449116 [patent_app_country] => US [patent_app_date] => 2021-09-28 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 8035 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -17 [patent_words_short_claim] => 90 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 17449116 [rel_patent_id] =>[rel_patent_doc_number] =>)
17/449116
DYNAMICALLY GENERATED KNOWLEDGE GRAPHS Sep 27, 2021 Pending
Array ( [id] => 18265861 [patent_doc_number] => 20230087103 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2023-03-23 [patent_title] => FIND MODEL SENSITIVITY USING PAYLOAD DATA [patent_app_type] => utility [patent_app_number] => 17/483160 [patent_app_country] => US [patent_app_date] => 2021-09-23 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 5194 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -15 [patent_words_short_claim] => 213 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 17483160 [rel_patent_id] =>[rel_patent_doc_number] =>)
17/483160
FIND MODEL SENSITIVITY USING PAYLOAD DATA Sep 22, 2021 Abandoned
Array ( [id] => 17462825 [patent_doc_number] => 20220076131 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2022-03-10 [patent_title] => DISCRETE VARIATIONAL AUTO-ENCODER SYSTEMS AND METHODS FOR MACHINE LEARNING USING ADIABATIC QUANTUM COMPUTERS [patent_app_type] => utility [patent_app_number] => 17/481568 [patent_app_country] => US [patent_app_date] => 2021-09-22 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 21903 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -15 [patent_words_short_claim] => 2 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 17481568 [rel_patent_id] =>[rel_patent_doc_number] =>)
17/481568
DISCRETE VARIATIONAL AUTO-ENCODER SYSTEMS AND METHODS FOR MACHINE LEARNING USING ADIABATIC QUANTUM COMPUTERS Sep 21, 2021 Pending
Array ( [id] => 17338542 [patent_doc_number] => 20220004873 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2022-01-06 [patent_title] => TECHNIQUES TO MANAGE TRAINING OR TRAINED MODELS FOR DEEP LEARNING APPLICATIONS [patent_app_type] => utility [patent_app_number] => 17/479858 [patent_app_country] => US [patent_app_date] => 2021-09-20 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 10860 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -7 [patent_words_short_claim] => 2 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 17479858 [rel_patent_id] =>[rel_patent_doc_number] =>)
17/479858
TECHNIQUES TO MANAGE TRAINING OR TRAINED MODELS FOR DEEP LEARNING APPLICATIONS Sep 19, 2021 Pending
Array ( [id] => 17337821 [patent_doc_number] => 20220004152 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2022-01-06 [patent_title] => ENVIRONMENT FACTOR CONTROL DEVICE AND TRAINING METHOD THEREOF [patent_app_type] => utility [patent_app_number] => 17/477423 [patent_app_country] => US [patent_app_date] => 2021-09-16 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 11769 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -15 [patent_words_short_claim] => 73 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 17477423 [rel_patent_id] =>[rel_patent_doc_number] =>)
17/477423
Environment factor control device and training method thereof Sep 15, 2021 Issued
Array ( [id] => 17707386 [patent_doc_number] => 20220207393 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2022-06-30 [patent_title] => METHOD OF PREDICTING SEMICONDUCTOR MATERIAL PROPERTIES AND METHOD OF TESTING SEMICONDUCTOR DEVICE USING THE SAME [patent_app_type] => utility [patent_app_number] => 17/468819 [patent_app_country] => US [patent_app_date] => 2021-09-08 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 5747 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -17 [patent_words_short_claim] => 110 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 17468819 [rel_patent_id] =>[rel_patent_doc_number] =>)
17/468819
METHOD OF PREDICTING SEMICONDUCTOR MATERIAL PROPERTIES AND METHOD OF TESTING SEMICONDUCTOR DEVICE USING THE SAME Sep 7, 2021 Pending
Array ( [id] => 17447031 [patent_doc_number] => 20220067536 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2022-03-03 [patent_title] => PROCESSOR SYSTEM AND METHOD FOR INCREASING DATA-TRANSFER BANDWIDTH DURING EXECUTION OF A SCHEDULED PARALLEL PROCESS [patent_app_type] => utility [patent_app_number] => 17/461288 [patent_app_country] => US [patent_app_date] => 2021-08-30 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 11100 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -14 [patent_words_short_claim] => 85 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 17461288 [rel_patent_id] =>[rel_patent_doc_number] =>)
17/461288
PROCESSOR SYSTEM AND METHOD FOR INCREASING DATA-TRANSFER BANDWIDTH DURING EXECUTION OF A SCHEDULED PARALLEL PROCESS Aug 29, 2021 Abandoned
Array ( [id] => 19078729 [patent_doc_number] => 11948099 [patent_country] => US [patent_kind] => B2 [patent_issue_date] => 2024-04-02 [patent_title] => Knowledge graph weighting during chatbot sessions [patent_app_type] => utility [patent_app_number] => 17/460674 [patent_app_country] => US [patent_app_date] => 2021-08-30 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 7 [patent_figures_cnt] => 8 [patent_no_of_words] => 7246 [patent_no_of_claims] => 33 [patent_no_of_ind_claims] => 3 [patent_words_short_claim] => 129 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => patent [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 17460674 [rel_patent_id] =>[rel_patent_doc_number] =>)
17/460674
Knowledge graph weighting during chatbot sessions Aug 29, 2021 Issued
Array ( [id] => 17916223 [patent_doc_number] => 20220318619 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2022-10-06 [patent_title] => GAME THEORETIC DEEP NEURAL NETWORKS FOR GLOBAL OPTIMIZATION OF MACHINE LEARNING MODEL GENERATION [patent_app_type] => utility [patent_app_number] => 17/404037 [patent_app_country] => US [patent_app_date] => 2021-08-17 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 11716 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -17 [patent_words_short_claim] => 95 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 17404037 [rel_patent_id] =>[rel_patent_doc_number] =>)
17/404037
GAME THEORETIC DEEP NEURAL NETWORKS FOR GLOBAL OPTIMIZATION OF MACHINE LEARNING MODEL GENERATION Aug 16, 2021 Pending
Array ( [id] => 18310656 [patent_doc_number] => 20230114556 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2023-04-13 [patent_title] => NEURAL NETWORK MODELS USING PEER-ATTENTION [patent_app_type] => utility [patent_app_number] => 17/909581 [patent_app_country] => US [patent_app_date] => 2021-07-14 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 8517 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -17 [patent_words_short_claim] => 2 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 17909581 [rel_patent_id] =>[rel_patent_doc_number] =>)
17/909581
NEURAL NETWORK MODELS USING PEER-ATTENTION Jul 13, 2021 Pending
Array ( [id] => 17338300 [patent_doc_number] => 20220004631 [patent_country] => US [patent_kind] => A1 [patent_issue_date] => 2022-01-06 [patent_title] => DISCRIMINATION APPARATUS, DISCRIMINATION METHOD AND LEARNING APPARATUS [patent_app_type] => utility [patent_app_number] => 17/376009 [patent_app_country] => US [patent_app_date] => 2021-07-14 [patent_effective_date] => 0000-00-00 [patent_drawing_sheets_cnt] => 0 [patent_figures_cnt] => 0 [patent_no_of_words] => 4598 [patent_no_of_claims] => 0 [patent_no_of_ind_claims] => -11 [patent_words_short_claim] => 88 [patent_maintenance] => 1 [patent_no_of_assignments] => 0 [patent_current_assignee] =>[type] => publication [pdf_file] =>[firstpage_image] =>[orig_patent_app_number] => 17376009 [rel_patent_id] =>[rel_patent_doc_number] =>)
17/376009
DISCRIMINATION APPARATUS, DISCRIMINATION METHOD AND LEARNING APPARATUS Jul 13, 2021 Pending
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