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stat.ML2022
Conservative Likelihood Ratio Estimator for Infrequent Data Slightly above a Frequency Threshold
Masato Kikuchi, Yuhi Kusakabe, Tadachika Ozono
A naive likelihood ratio (LR) estimation using the observed frequencies of events can overestimate LRs for infrequent data. One approach to avoid this problem is to use a frequency…
cs.LG2022
Improving Multi-class Classifier Using Likelihood Ratio Estimation with Regularization
Masato Kikuchi, Tadachika Ozono
The universal-set naive Bayes classifier (UNB)~\cite{Komiya:13}, defined using likelihood ratios (LRs), was proposed to address imbalanced classification problems. However, the LR…
cs.CL2022
Developing a Component Comment Extractor from Product Reviews on E-Commerce Sites
Shogo Anda, Masato Kikuchi, Tadachika Ozono
Consumers often read product reviews to inform their buying decision, as some consumers want to know a specific component of a product. However, because typical sentences on produc…