PATENT CLAIM ANALYSIS

Application Number: 15757883
Application Type: Utility
Filing Date: 2018-03
Publication Date: 2018-11
Patent Classification: ["348", "079000"]

Abstract:
Methods and systems for detecting and characterizing a pattern (or patterns) of interest in a low signal-to-noise ratio (SNR) data set are disclosed. One method is a two-stage Likelihood pipeline analysis that takes advantage of the benefits of a full Likelihood analysis while providing computational tractability. The two-stage pipeline may include a first stage including the application of approximate Likelihood functions in which one or more of the following assumptions or modifications may be applied: (i) the pattern of interest and background are at a specified position in a segment of the data set under examination; (ii) the SNR is low; and (iii) measurement noise can be represented in such a form that all non-position parameters of the representation are linear with respect to the derivative of the Log Likelihood versus lambda. The second stage may include a full Likelihood analysis.

Claim (Index 17):
A method of detecting a pattern of interest in a data set, the data set comprising a plurality of segments, the method comprising:\n calculating a first approximate maximum likelihood estimate (MLE) for one or more of the plurality of segments with respect to a first model, the first model comprising (i) the pattern of interest at the segment and (ii) a background pattern at the segment, wherein calculating the first approximate MLE for a segment comprises assuming that the pattern of interest is positioned at a specified position in the segment; calculating a first approximate likelihood value (LV) associated with the first approximate MLE; calculating a second approximate MLE for the one or more segments with respect to a second model, the second model comprising the background pattern at the segment; calculating a second approximate LV associated with the second approximate MLE; determining a ratio of the first approximate LV to the second approximate LV to identify one or more pattern-of-interest candidate segments,; applying a full Likelihood analysis to each of the candidate segments; and designating one or more of the candidate segments as including the pattern of interest according to the result of the full Likelihood analysis.

Metadata:
- Claim Count in Document: 9.0
- Percentile: 90.0
- Lexical Diversity: 1.77528
- Patent Class: 348.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['13084345', '11324503', '14242283', '12422878', '10603666']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.594942647748403
- 35 USC 102 Novelty (BERT): 0.4731918554034802
- Combined Prediction Score: 0.5827675685139106
- Mean Citation Score: 152.66268399999996
- Max Citation Score: 175.22546
- Similarity Product: 130.81872810258508

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

Dataset: test