PATENT CLAIM ANALYSIS

Application Number: 15887037
Application Type: Utility
Filing Date: 2018-02
Publication Date: 2019-02
Patent Classification: ["706", "012000"]

Abstract:
A computing device employs machine learning and determines a bandwidth parameter value for a support vector data description (SVDD). A mean pairwise distance value is computed between observation vectors. A scaling factor value is computed based on a number of the plurality of observation vectors and a predefined tolerance value. A Gaussian bandwidth parameter value is computed using the computed mean pairwise distance value and the computed scaling factor value. An optimal value of an objective function is computed that includes a Gaussian kernel function that uses the computed Gaussian bandwidth parameter value. The objective function defines a SVDD model using the plurality of observation vectors to define a set of support vectors. The computed Gaussian bandwidth parameter value and the defined a set of support vectors are output for determining if a new observation vector is an outlier.

Claim (Index 12):
The non-transitory computer-readable medium of  claim 10 , wherein the Gaussian bandwidth parameter value is computed using s=\u03c3F, where s is the Gaussian bandwidth parameter value, \u03c3 2 =\u03a3 i=1 p \u03c3 i 2 , and F is the scaling factor value.

Metadata:
- Claim Count in Document: 10.0
- Percentile: 88.0
- Lexical Diversity: 2.34921
- Patent Class: 706.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['15390236', '15096552', '15583067', '15185277', '15335530']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.5123261132802807
- 35 USC 102 Novelty (BERT): 0.5573893931355257
- Combined Prediction Score: 0.5168324412658052
- Mean Citation Score: 420.564896
- Max Citation Score: 465.09488
- Similarity Product: 343.84758915124894

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

Dataset: test