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10/28/2022
Improving Multi-class Classifier Using Likelihood Ratio Estimation with Regularization
The universal-set naive Bayes classifier (UNB) <cit.>, defined using lik...
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10/28/2022
Conservative Likelihood Ratio Estimator for Infrequent Data Slightly above a Frequency Threshold
A naive likelihood ratio (LR) estimation using the observed frequencies ...
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07/13/2022
Developing a Component Comment Extractor from Product Reviews on E-Commerce Sites
Consumers often read product reviews to inform their buying decision, as...
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12/17/2021
Online Classroom Evaluation System Based on Multi-Reaction Estimation
Compared with traditional face-to-face teaching, online learning is more...
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12/17/2021
Matching Social Issues to Technologies for Civic Tech by Association Rule Mining using Weighted Casual Confidence
More than 80 civic tech communities in Japan are developing information ...
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12/17/2021
Product Information Browsing Support System Using Analytic Hierarchy Process
Large-scale e-commerce sites can collect and analyze a large number of u...
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11/05/2021
Feature Selective Likelihood Ratio Estimator for Low- and Zero-frequency N-grams
In natural language processing (NLP), the likelihood ratios (LRs) of N-g...
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10/11/2021
Developing a Lecture Video Recording System Using Augmented Reality
Assistive technology is a prerequisite for making a high-quality lecture...
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10/08/2021
Development of an Extractive Title Generation System Using Titles of Papers of Top Conferences for Intermediate English Students
The formulation of good academic paper titles in English is challenging ...
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10/03/2021
Unified Likelihood Ratio Estimation for High- to Zero-frequency N-grams
Likelihood ratios (LRs), which are commonly used for probabilistic data ...
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06/11/2019