PATENT CLAIM ANALYSIS

Application Number: 15771599
Application Type: Utility
Filing Date: 2018-04
Publication Date: 2018-11
Patent Classification: ["703", "002000"]

Abstract:
Provided is an apparatus which selects desired explanatory variables from a plurality of candidate explanatory variables in a statistical model that expresses, by a predetermined function, a relationship between a linear predictor and an expectation value of a response variable or a probability of the response variable having certain values, by using a variable selecting model that expresses the linear predictor as a sum of a constant and a linear combination of the candidate explanatory variables and their corresponding coefficients, the apparatus including a sign condition acquisition unit for acquiring sign conditions for at least one of the coefficients; an estimator for calculating an estimate of the respective coefficients and an estimate of the constant under the sign conditions, using plural data; and a selection unit for selecting, as the desired explanatory variable, the candidate explanatory variable corresponding to the coefficient of which the estimate is calculated to be non-zero.

Claim (Index 3):
The apparatus according to  claim 1 , wherein the estimation unit determines, as the estimates, values of the coefficients and constant which maximize a likelihood function of the variable selecting model under the sign conditions.

Metadata:
- Claim Count in Document: 44.0
- Percentile: 91.0
- Lexical Diversity: 2.19178
- Patent Class: 703.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: True
- Related Applications: ['13144295', '13515554', '11602236', '12616534', '10835302']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.2379981741103398
- 35 USC 102 Novelty (BERT): 0.4855174349595617
- Combined Prediction Score: 0.262750100195262
- Mean Citation Score: 186.64395400000004
- Max Citation Score: 197.06819
- Similarity Product: 156.01309624657094

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

Dataset: test