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 26):
The method of  claim 20 , wherein (a) comprises:\n estimating a number of bins; initializing a bin boundary for each of the estimated number of bins; broadcasting the initialized bin boundary for each of the estimated number of bins to a plurality of worker computing devices; receiving, from the plurality of worker computing devices, a bin count for each bin based on the initialized bin boundary for each of the estimated number of bins; (g) updating each bin boundary; (h) broadcasting the updated bin boundary for each of the estimated number of bins to the plurality of worker computing devices; (i) receiving, from the plurality of worker computing devices, an updated bin count for each bin based on the update bin boundary for each of the estimated number of bins; and repeating (g) to (i) until the bin boundary computation converges.

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): 0.2853258071877416
- 35 USC 102 Novelty (BERT): 0.5305575459696197
- Combined Prediction Score: 0.3098489810659294
- Mean Citation Score: 219.618288
- Max Citation Score: 335.3869
- Similarity Product: 238.0463085939765

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