PATENT CLAIM ANALYSIS

Application Number: 16030142
Application Type: Utility
Filing Date: 2018-07
Publication Date: 2019-03
Patent Classification: ["708", "207000"]

Abstract:
A Gaussian similarity matrix is computed between observation vectors. An inverse Gaussian similarity matrix is computed from the Gaussian similarity matrix. A row sum vector is computed that includes a row sum value computed from each row of the inverse Gaussian similarity matrix. (a) A new observation vector is selected. (b) An acceptance value is computed for the new observation vector using the set of boundary support vectors, the row sum vector, and the new observation vector. (c) (a) and (b) are repeated when the computed acceptance value is less than or equal to zero. (d) An incremental vector is computed from the inverse Gaussian similarity matrix and the new observation vector when the computed acceptance value is greater than zero. (e) the selected new observation vector is output as an outlier observation vector when a maximum value of the incremental vector is less than a first predefined tolerance value.

Claim (Index 23):
The non-transitory computer-readable medium of  claim 21 , wherein, when the interior vector is identified, the computer-readable instructions further cause the computing device to:\n compute an updated inverse Gaussian similarity matrix from the computed inverse Gaussian similarity matrix based on the removed identified interior vector; compute an updated row sum vector that includes the row sum value computed from each row of the computed, updated inverse Gaussian similarity matrix; compute a second acceptance value for the removed identified interior vector using the selected set of boundary support vectors, the computed, updated row sum vector, and the removed identified interior vector; when the computed second acceptance value is greater than zero, compute a second incremental vector from the computed, updated inverse Gaussian similarity matrix and the removed identified interior vector; compute a second updated inverse Gaussian similarity matrix from the computed, updated inverse Gaussian similarity matrix based on the computed second incremental vector; compute a second updated row sum vector that includes the row sum value computed from each row of the computed, second updated inverse Gaussian similarity matrix; and when \u03b1 u (i)>0, add the removed identified interior vector to the set of boundary support vectors, wherein \u03b1 u (i) is an i th  row sum value selected from the computed, second updated row sum vector, wherein the i th  row sum value is associated with the computed second incremental vector.

Metadata:
- Claim Count in Document: 80.0
- Percentile: 95.0
- Lexical Diversity: 3.0
- Patent Class: 708.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['15583067', '15390236', '15185277', '15096552', '15911882']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.5405284376183206
- 35 USC 102 Novelty (BERT): 0.5445585888046535
- Combined Prediction Score: 0.5409314527369539
- Mean Citation Score: 362.52844
- Max Citation Score: 383.9613
- Similarity Product: 288.5838587832212

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

Dataset: test