PATENT CLAIM ANALYSIS

Application Number: 15865920
Application Type: Utility
Filing Date: 2018-01
Publication Date: 2018-07
Patent Classification: ["706", "012000"]

Abstract:
A machine learning device, which learns shocks to a teaching device, includes a state observation unit which observes data based on an inclination of the teaching device or a present position of the teaching device; a label obtaining unit which obtains a label based on a shock received by the teaching device; and a learning unit which generates a learning model based on an output of the state observation unit and an output of the label obtaining unit.

Claim (Index 10):
A machine learning method of learning shocks to a teaching device, comprising:\n observing state data based on an inclination of the teaching device or a present position of the teaching device; obtaining a label based on a shock received by the teaching device; and generating a learning model based on the observed state data and the label.

Metadata:
- Claim Count in Document: 29.0
- Percentile: 86.0
- Lexical Diversity: 2.18421
- Patent Class: 706.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: True
- Related Applications: ['15368753', '15637777', '15782371', '15628641', '15609336']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.3650768516364847
- 35 USC 102 Novelty (BERT): 0.4747163581171097
- Combined Prediction Score: 0.3760408022845472
- Mean Citation Score: 138.102476
- Max Citation Score: 157.62407
- Similarity Product: 108.73999501621424

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

Dataset: test