PATENT CLAIM ANALYSIS

Application Number: 15903600
Application Type: Utility
Filing Date: 2018-02
Publication Date: 2018-12
Patent Classification: ["706", "025000"]

Abstract:
A computer-implemented method for optimizing neural networks for receiving plural input data having a form of a tree or a Directed Acyclic Graph (DAG). Finding a common node included in at least two of the input data in common. Reconstructing the plural input data by sharing the common node.

Claim (Index 1):
A computer-implemented method for optimizing neural networks for receiving a plurality of input data, comprising;\n finding a common node included in at least two of a plurality of input data having a form of a tree having subtrees, wherein the at least two of the plurality of input data include the common node, wherein the neural networks comprise convolutional layers, wherein the finding the common node is performed for each convolutional layer; and reconstructing the tree to represent the plurality of input data, wherein the reconstructed tree includes sharing the common node, wherein the reconstructing the plurality of input data is performed for each convolutional layer, wherein the reconstructing tree is performed in such a way that subtrees of the combined tree share a node that exists in common in at least two of the multiple trees before reconstructing.

Metadata:
- Claim Count in Document: 1.0
- Percentile: 88.0
- Lexical Diversity: 1.5
- Patent Class: 706.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['11681486', '15360616', '09599950', '11279586', '13568738']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.3059389207104559
- 35 USC 102 Novelty (BERT): 0.4534824163884182
- Combined Prediction Score: 0.3206932702782522
- Mean Citation Score: 119.1657238
- Max Citation Score: 120.77376
- Similarity Product: 95.23049261444092

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

Dataset: test