PATENT CLAIM ANALYSIS

Application Number: 16445593
Application Type: Utility
Filing Date: 2019-06
Publication Date: 2019-10
Patent Classification: ["706", "052000"]

Abstract:
A computing device computes a weight matrix to compute a predicted value. For each of a plurality of related tasks, an augmented observation matrix, a plug-in autocovariance matrix, and a plug-in covariance vector are computed. A weight matrix used to predict the characteristic for each of a plurality of variables and each of a plurality of related tasks is computed. (a) and (b) are repeated with the computed updated weight matrix as the computed weight matrix until a convergence criterion is satisfied: (a) a gradient descent matrix is computed using the computed plug-in autocovariance matrix, the computed plug-in covariance vector, the computed weight matrix, and a predefined relationship matrix, wherein the predefined relationship matrix defines a relationship between the plurality of related tasks, and (b) an updated weight matrix is computed using the computed gradient descent matrix.

Claim (Index 6):
The non-transitory computer-readable medium of  claim 1 , wherein the computed predicted target value is a label.

Metadata:
- Claim Count in Document: 62.0
- Percentile: 100.0
- Lexical Diversity: 2.82143
- Patent Class: 706.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['15833641', '16162794', '16400157', '16108293', '16221937']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.358933156121442
- 35 USC 102 Novelty (BERT): 0.5840647382025387
- Combined Prediction Score: 0.3814463143295517
- Mean Citation Score: 279.08156799999995
- Max Citation Score: 509.6548
- Similarity Product: 393.70337048368464

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