PATENT CLAIM ANALYSIS

Application Number: 16433192
Application Type: Utility
Filing Date: 2019-06
Publication Date: 2019-12
Patent Classification: ["703", "002000"]

Abstract:
A computing device provides distributed estimation of an empirical distribution function. A boundary cumulative distribution function (CDF) value is defined at a start of each region of a plurality of regions. An accuracy value is defined for each region. (a) First equal proportion bins are computed for a first sample of a first marginal variable using the defined boundary CDF value for each region. (b) Second equal proportion bins are computed for the first sample of the first marginal variable within each region based on the defined accuracy value for each region. (c) The computed second equal proportion bins are added as an empirical distribution function (EDF) for the first marginal variable. (d) (a) to (c) are repeated for each remaining sample of the first marginal variable. (e) (a) to (d) are repeated with each remaining marginal variable of a plurality of marginal variables as the first marginal variable.

Claim (Index 24):
The method of  claim 20 , wherein (a) comprises:\n estimating a number of bins; computing a bin boundary for each of the estimated number of bins; computing the bin counts for the estimated number of bins based on the computed bin boundary for each of the estimated number of bins; when the computed bin counts are not approximately uniform, updating the bin boundaries and computing the bin counts until the computed bin counts are approximately uniform or until a predefined limit on boundary updates are reached; when the computed bins are approximately uniform, computing a count in each region; and computing an EDF value at an end of each region based on the computed count in each region.

Metadata:
- Claim Count in Document: 53.0
- Percentile: 100.0
- Lexical Diversity: 2.98333
- Patent Class: 703.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['16433136', '16161339', '16033851', '15961373', '16140931']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.2853087669397319
- 35 USC 102 Novelty (BERT): 0.5295966457641293
- Combined Prediction Score: 0.3097375548221716
- Mean Citation Score: 219.618288
- Max Citation Score: 335.3869
- Similarity Product: 249.4443187286258

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

Dataset: test