Notice of Pre-AIA or AIA Status
The present application, filed on or after March 16, 2013, is being examined under the first inventor to file provisions of the AIA .
DETAILED ACTION
Claims 1-7 are pending.
This action is response to the application filed on March 02, 2023.
Claim Rejections - 35 USC § 102
In the event the determination of the status of the application as subject to AIA 35 U.S.C. 102 and 103 (or as subject to pre-AIA 35 U.S.C. 102 and 103) is incorrect, any correction of the statutory basis for the rejection will not be considered a new ground of rejection if the prior art relied upon, and the rationale supporting the rejection, would be the same under either status.
The following is a quotation of the appropriate paragraphs of 35 U.S.C. 102 that form the basis for the rejections under this section made in this Office action:
A person shall be entitled to a patent unless –
(a)(2) the claimed invention was described in a patent issued under section 151, or in an application for patent published or deemed published under section 122(b), in which the patent or application, as the case may be, names another inventor and was effectively filed before the effective filing date of the claimed invention.
Claims 1 and 6-7 are rejected under 35 U.S.C. 102(a)(2) as being anticipated by Kim et al (US 20210325957 A1).
With respect to claims 1 and 6-7, Kim et al teaches
first acquiring, by inputting first data into a machine learning model, an estimation result output by the machine learning model (Abstract, receiving machine learning model input data from a requestor; processing the machine learning model input data with a machine learning model using processing hardware to generate first output data);
when a first value included in the estimation result is lower than a threshold, by inputting the first data to a linear model generated based on the first data and the estimation result ([0037] FIG. 1C, uncertainty (low confidence) 130 in which classifications of observations may be considered relatively unreliable. [0049] step 206 with comparing the model output to a threshold value, such as an confidence threshold. a magnitude of the model output may be compared to the threshold value, second acquiring a second value output by the linear model ([0007] based on comparing the first output data to a threshold value; processing the machine learning model input data with the machine learning model using the processing hardware at the second power level to generate second output data; and means for sending second output data to the requestor); and
controlling output of the estimation result based on a difference between the first value and the second value ([0093] the machine learning model comprises a linear classification model, and comparing the first output data to a threshold value comprises comparing a magnitude of an output of the linear classification model to the threshold value. [0118] FIG. 6, for receiving machine learning model input data; code 632 for processing the machine learning model input data with a machine learning model using processing to generate output data; code 634 for comparing model output data to a threshold; code 635 for sending second output data).
Allowable Subject Matter
Claims 2-5 are objected to as being dependent upon a rejected base claim, but would be allowable if rewritten in independent form including all of the limitations of the base claim and any intervening claims.
Conclusion
Any inquiry concerning this communication or earlier communications from the examiner should be directed to ISAAC M WOO whose telephone number is (571)272-4043. The examiner can normally be reached 9:00 to 5:00.
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/ISAAC M WOO/Primary Examiner, Art Unit 2163