PATENT CLAIM ANALYSIS

Application Number: 16256807
Application Type: Utility
Filing Date: 2019-01
Publication Date: 2019-06
Patent Classification: ["726", "022000"]

Abstract:
Described are techniques to enable computers to efficiently determine if they should run a program based on an immediate (i.e., real-time, etc.) analysis of the program. Such an approach leverages highly trained ensemble machine learning algorithms to create a real-time discernment on a combination of static and dynamic features collected from the program, the computer's current environment, and external factors. Related apparatus, systems, techniques and articles are also described.

Claim (Index 35):
The method as in  claim 34 , wherein the pre-specified point in time is at execution or at execution continuation of at least the portion of the program.

Metadata:
- Claim Count in Document: 65.0
- Percentile: 99.0
- Lexical Diversity: 1.41379
- Patent Class: 726.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['14616509', '15252106', '15615609', '14663701', '15216661']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.3057563296463126
- 35 USC 102 Novelty (BERT): 0.523219383908387
- Combined Prediction Score: 0.3275026350725201
- Mean Citation Score: 199.331836
- Max Citation Score: 297.80548
- Similarity Product: 163.30500058343887

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