PATENT CLAIM ANALYSIS

Application Number: 16070144
Application Type: Utility
Filing Date: 2018-07
Publication Date: 2019-01
Patent Classification: ["700", "094000"]

Abstract:
A system, method, and computer program for estimation of a target value, which can change the aggregation of estimation results based on the degrees of confidence, taking the nature of an input observation signal into consideration. An unknown observation signal is input to a plurality of regression models. A plurality of estimated values are respectively obtained by a plurality of regression models corresponding to the plurality of features of the unknown observation signal. A target value of the unknown observation signal is estimated by aggregation of the target values. The estimating section calculates weights to be added the estimation results output from the regression models, based on the degrees of confidence with respect to the inputs into the regression models. A target value of the unknown observation signal is estimated through the aggregation by calculating a weighted sum of the estimation results output from the regression models.

Claim (Index 1):
A system for estimation of target value comprising:\n an estimator configuring section operable to extract a plurality of features from each of a plurality of observation signals, and including a plurality of regression models corresponding to the plurality of features, whereby the regression models are optimized based on a plurality of training data comprised of a pair of the extracted features and target values to be estimated for the plurality of observation signals; and an estimating section operable to input an unknown observation signal to the estimator configuring section, to estimate a plurality of target values for corresponding features of the unknown observation signal using the plurality of the regression models, and to estimate a target value for the unknown observation signal through aggregation of estimation results of the plurality of target values for the corresponding features of the unknown observation signal, wherein: the plurality of regression models are each capable of obtaining a probability distribution of estimation results and a degree of confidence; the estimating section is operable to obtain respective weights to be added to a plurality of estimation results output from the plurality of regression models based on the respective degrees of confidence for the inputs to the plurality of regression models, and to estimate the target value for the unknown observation signal by performing the aggregation using a weighted sum of the plurality of estimation results output from the plurality of regression models.

Metadata:
- Claim Count in Document: 38.0
- Percentile: 95.0
- Lexical Diversity: 2.50794
- Patent Class: 700.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: True
- Related Applications: ['13123626', '14182269', '14772691', '14912582', '11906557']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.3579686398646666
- 35 USC 102 Novelty (BERT): 0.4769845062511471
- Combined Prediction Score: 0.3698702265033147
- Mean Citation Score: 177.702584
- Max Citation Score: 181.0229
- Similarity Product: 133.01275341348648

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

Dataset: test