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 16):
The non-transitory computer-readable medium of  claim 11 , wherein (a) further comprises:\n computing a first amount of work to be done for each bin in each region; computing a second amount of work to be assigned to each worker computing device of the plurality of worker computing devices; when a number of workers is less than the number of regions, assigning subregions to workers in proportion to the computed second amount of work, wherein a distribution of a total amount of work assigned to each worker computing device is defined for each bin in each region; when a number of workers is greater than or equal to the number of regions, assigning regions to workers in proportion to the computed second amount of work; and computing an EDF value at an end of each region or subregion by the plurality of worker computing devices based on the assignment.

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): 0.2852752336154962
- 35 USC 102 Novelty (BERT): 0.527710509691949
- Combined Prediction Score: 0.3095187612231415
- Mean Citation Score: 219.618288
- Max Citation Score: 335.3869
- Similarity Product: 271.81062069410086

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