PATENT CLAIM ANALYSIS

Application Number: 16055336
Application Type: Utility
Filing Date: 2018-08
Publication Date: 2019-02
Patent Classification: ["706", "012000"]

Abstract:
A computing device determines a bandwidth parameter value for outlier detection or data classification. A mean pairwise distance value is computed between observation vectors. A tolerance value is computed based on a number of observation vectors. A scaling factor value is computed based on a number of observation vectors and the tolerance value. A Gaussian bandwidth parameter value is computed using the mean pairwise distance value and the 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 support vector data description model using the observation vectors to define a set of support vectors. The Gaussian bandwidth parameter value and the set of support vectors are output for determining if a new observation vector is an outlier or for classifying the new observation vector.

Claim (Index 20):
The non-transitory computer-readable medium of  claim 19 , wherein the defined set of support vectors are included in the defined SVDD model, wherein the threshold is computed using R 2 =1\u22122\u03a3 i=1 N SV \u03b1 i K(x i ,x k )+\u03a3 i=1 N SV \u03a3 j=1 N SV \u03b1 i \u03b1 j (x i ,x j ), where R 2  is the computed threshold, x k  is any support vector of the defined set of support vectors, K \ue8a0 ( x i , x j ) = exp \ue89e - \uf605 x i - x j \uf606 2 2 \ue89e s 2 is the Gaussian kernel function, s is the computed Gaussian bandwidth parameter value, N SV  is a number of support vectors included in the defined set of support vectors, x i  and x j  are each support vectors of the defined set of support vectors, and \u03b1 i  and \u03b1 j  are Lagrange constants of an associated support vector of the defined set of support vectors.

Metadata:
- Claim Count in Document: 81.0
- Percentile: 96.0
- Lexical Diversity: 2.63793
- Patent Class: 706.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['15583067', '15185277', '15390236', '15096552', '15335530']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.4808789486241588
- 35 USC 102 Novelty (BERT): 0.5476994733729902
- Combined Prediction Score: 0.487561001099042
- Mean Citation Score: 387.070814
- Max Citation Score: 424.97754
- Similarity Product: 330.37139138472673

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