PATENT CLAIM ANALYSIS

Application Number: 15952626
Application Type: Utility
Filing Date: 2018-04
Publication Date: 2018-10
Patent Classification: ["702", "108000"]

Abstract:
A system and method for selecting a test vector for use in classification of electronic components. The system and method can quickly and automatically select a test vector that, when applied to a set of training electronic components, causes the electronic components to produce side channel information that can be used to build a classifier that accurately classifies a set of test electronic components.

Claim (Index 20):
The system of  claim 15  wherein the machine learning system is configured to add or remove training components from the plurality of training components to improve the learning rate of the system.

Metadata:
- Claim Count in Document: 56.0
- Percentile: 91.0
- Lexical Diversity: 1.7
- Patent Class: 702.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['15696667', '15178708', '12890789', '15223283', '15473980']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.2194650895985233
- 35 USC 102 Novelty (BERT): 0.4899919727937088
- Combined Prediction Score: 0.2465177779180418
- Mean Citation Score: 204.446454
- Max Citation Score: 229.14627
- Similarity Product: 170.13788378302394

Labels:
- Claim Label 101: 0
- Claim Label 102: 1
- Claim Label 103: 0
- Claim Label 112: 1
- Combined Label: 0
- Label 101 Adjusted: 0

Dataset: test