Last updated: April 15, 2026

Application No. 18/182,050

SEGMENTING TRAINING DATA FOR MACHINE LEARNING MODELS

Final Rejection

Filed

Mar 10, 2023

Examiner

CHEN, ALAN S

Art Unit

2125

Tech Center

2100 — Computer Architecture & Software

Assignee

Capital One Services, LLC

OA Round

2 (Final)

Interview Optional

— +6.9% interview lift. This examiner has a relatively high allow rate; a written response may suffice.

Based on 1126 resolved cases, 2023–2026

Examiner Intelligence

CHEN, ALAN S View full profile →

Grants 91% — above average

Career Allow Rate

1025 granted / 1126 resolved

+36.0% vs TC avg

Moderate +7% lift

Without

With

+6.9%

Interview Lift

resolved cases with interview

Typical timeline

2y 9m

Avg Prosecution

22 currently pending

Career history

1148

Total Applications

across all art units

Statute-Specific Performance

§101

12.7%

-27.3% vs TC avg

§103

20.8%

-19.2% vs TC avg

§102

37.6%

-2.4% vs TC avg

§112

19.9%

-20.1% vs TC avg

Black line = Tech Center average estimate • Based on career data from 1126 resolved cases

Prosecution Timeline

Mar 10, 2023

Application Filed

Oct 26, 2025

Non-Final Rejection

Jan 20, 2026

Examiner Interview Summary

Jan 20, 2026

Applicant Interview (Telephonic)

Jan 21, 2026

Response Filed

Feb 11, 2026

Final Rejection

Mar 26, 2026

Response after Non-Final Action

Precedent Cases

Applications granted by this same examiner with similar technology

17/808,314

Patent 12596942

BLACK-BOX EXPLAINER FOR TIME SERIES FORECASTING

2y 5m to grant Granted Apr 07, 2026

17/995,335

Patent 12596084

MACHINE LEARNING FOR HIGH-ENERGY INTERACTIONS ANALYSIS

2y 5m to grant Granted Apr 07, 2026

18/003,685

Patent 12596929

INTEGRATED CIRCUIT WITH DYNAMIC FUSING OF NEURAL NETWORK BRANCH STRUCTURES BY TOPOLOGICAL SEQUENCING

2y 5m to grant Granted Apr 07, 2026

17/732,894

Patent 12591777

PARSIMONIOUS INFERENCE ON CONVOLUTIONAL NEURAL NETWORKS

2y 5m to grant Granted Mar 31, 2026

17/848,372

Patent 12585930

NPU FOR GENERATING FEATURE MAP BASED ON COEFFICIENTS AND METHOD THEREOF

2y 5m to grant Granted Mar 24, 2026

Study what changed to get past this examiner. Based on 5 most recent grants.

AI Strategy Recommendation

Get an AI-powered prosecution strategy using examiner precedents, rejection analysis, and claim mapping.

Prosecution Projections

3-4

Expected OA Rounds

91%

Grant Probability

98%

With Interview (+6.9%)

2y 9m

Median Time to Grant

Moderate

PTA Risk

Based on 1126 resolved cases by this examiner. Grant probability derived from career allow rate.

SEGMENTING TRAINING DATA FOR MACHINE LEARNING MODELS

Interview Optional

Examiner Intelligence

Statute-Specific Performance

Prosecution Timeline

Precedent Cases

Applications granted by this same examiner with similar technology

AI Strategy Recommendation

Prosecution Projections

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