A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
Filters
Japanese Legal Term Correction using Random Forest
2020
Transactions of the Japanese society for artificial intelligence
Preserved Fulltext
Next, we describe a legal term correction method for Japanese statutory sentences. Our method predicts suitable legal terms using Random Forest classifiers. ...
We propose a method that assists legislation drafters in finding inappropriate use of Japanese legal terms and their corrections from Japanese statutory sentences. ...
keywords: Japanese legal term, legal term correction, random forest
Summary We propose a method that assists legislation drafters in finding inappropriate use of Japanese legal terms and their corrections ...
doi:10.1527/tjsai.h-j53
fatcat:lfpaxsx3t5akjjnjljmnopcfxe
Japanese Mistakable Legal Term Correction using Infrequency-aware BERT Classifier
2020
Transactions of the Japanese society for artificial intelligence
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
We propose a method to assist legislative drafters that locates inappropriate legal terms in Japanese statutory sentences and suggests corrections. ...
Our experiments show that our classifier outperforms conventional classifiers using Random Forest or language models, and that all three training techniques improve performance. ...
[Yamakoshi 18 ] prepared a Random Forest classifier for each legal term set T so that they use the specialized scoring function score RF T for the legal term t ∈ T . ...
doi:10.1527/tjsai.e-k25
fatcat:v3nt46jntvhtpdotad6cdej7q4
New Dataset for Forecasting Realized Volatility: Is the Tokyo Stock Exchange Co-Location Dataset Helpful for Expansion of the Heterogeneous Autoregressive Model in the Japanese Stock Market?
2021
Journal of Risk and Financial Management
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2021; you can also visit the original URL.
The file type is application/pdf.
This study expands the HAR model using the TSE Co-Location dataset, stock full-board dataset and market volume dataset based on the random forest method, which is a popular machine learning algorithm and ...
To the best of our knowledge, this study is the first to use the TSE co-location dataset. ...
based on the random forest method. ...
doi:10.3390/jrfm14050215
fatcat:p6gt3co3sbbvfdlngwzsdqw4pm
Translating Legal Sentence by Segmentation and Rule Selection
2013
International Journal on Natural Language Computing
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2018; you can also visit the original URL.
The file type is application/pdf.
We use a method which divides a English legal sentence based on its logical structure to segment the legal sentence. ...
We obtain improvements in performance for legal translation from English to Japanese over Moses and Moses-chart systems. ...
., [1] used Conditional Random Fields (CRFs) to recognize the logical structure of a Japanese legal sentence. ...
doi:10.5121/ijnlc.2013.2403
fatcat:vsyauisg6jhc5cghpf77dwzne4
Distribution and habitat preferences of Eurasian woodcock Scolopax rusticola in S. Miguel island (Azores) during the breeding season
2008
Wildlife Biology
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
1 (2008) Downloaded From: https://bioone.org/journals/Wildlife-Biology on 15 Feb 2020 Terms of Use: https://bioone.org/terms-of-use ...
© WILDLIFEBIOLOGY · 14:1 (2008)
Downloaded From: https://bioone.org/journals/Wildlife-Biology on 15 Feb 2020 Terms of Use: https://bioone.org/terms-of-use
© WILDLIFE BIOLOGY · 14: ...
doi:10.2981/0909-6396(2008)14[129:dahpoe]2.0.co;2
fatcat:qszk6whg4bhh3oajxif2wc2onq
Artificial Intelligence Models for Crime Prediction in Urban Spaces
2020
Machine Learning and Applications An International Journal
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2021; you can also visit the original URL.
The file type is application/pdf.
This work presents research based on evidence with neural networks for the development of predictive crime models, finding the data sets used are focused on historical crime data, crime classification, ...
It is also observed in this review, that in the field of justice, systems based on intelligent technologies have been incorporated, to carry out activities such as legal advice, prediction and decisionmaking ...
Random Forest
5. Logistic Regression
6. Support Vector Machine
7. ...
doi:10.5121/mlaij.2021.8101
fatcat:cgrea5k5nrhgfkfjdj46hfaqwe
Artificial Intelligence Models for Crime Prediction in Urban Spaces
2021
Zenodo
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2021; you can also visit the original URL.
The file type is application/pdf.
This work presents research based on evidence with neural networks for the development of predictive crime models, finding the data sets used are focused on historical crime data, crime classification, ...
It is also observed in this review, that in the field of justice, systems based on intelligent technologies have been incorporated, to carry out activities such as legal advice, prediction and decisionmaking ...
Random Forest
5. Logistic Regression
6. Support Vector Machine
7. ...
doi:10.5281/zenodo.4672091
fatcat:ni2rqjxixvhfzi74eji22waxey
Feature based Entailment Recognition for Malayalam Language Texts
2022
International Journal of Advanced Computer Science and Applications
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2022; you can also visit the original URL.
The file type is application/pdf.
A performance-based analysis using machine learning classification techniques such as Logistic Regression, Decision Tree, Support Vector Machine, Random Forest, AdaBoost, and Naive Bayes is done for the ...
Different lexical and surface-level features are used for this binary and multiclass classification. ...
in legal texts [14] . ...
doi:10.14569/ijacsa.2022.0130283
fatcat:3mugz2kpebepllwiryiyrouufm
Mapping major land cover types and retrieving the age of secondary forests in the Brazilian Amazon by combining single-date optical and radar remote sensing data
2017
Remote Sensing of Environment
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
A machine learning algorithm (random forests) was used in combination with ALOS PALSAR backscatter intensity at HH and HV polarizations and Landsat 5 TM surface reflectance in the visible, near-infrared ...
On average, unbiased ASF estimates can be obtained using the method proposed here (Wilcoxon test, p-value N 0.05). ...
We are also deeply acknowledged to the valuable comments from two anonymous reviewers who led us to improve the analysis presented here. ...
doi:10.1016/j.rse.2017.03.016
fatcat:hacb46brjnbkfakdr23t7br5du
A Systematic Review of Machine Learning Algorithms in Cyberbullying Detection: Future Directions and Challenges
2021
Journal of Information Security and Cybercrimes Research
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2021; you can also visit the original URL.
The file type is application/pdf.
Detecting cyberbullying using machine learning and natural language processing algorithms is getting the attention of researchers. ...
Various ensemble classifiers, including random forest, bagging, boosting, and logistic regression, are used. Random forest performed best with AUC equals to 0.983. Agarwal et al. ...
Different base classifiers can be used in the random forest classifier [108, 109] . Random forest classifier is successfully applied in many practical applications [110] [111] [112] . ...
doi:10.26735/gbtv9013
fatcat:jttkjrbsqndytlmr4yqoik23j4
Total Historical Land-Use Change in Eastern Bolivia: Who, Where, When, and How Much?
2008
Ecology and Society
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2018; you can also visit the original URL.
The file type is application/pdf.
ranching groups, and the forest products sector. ...
We included all landcover types located below the natural montane tree line (~3000 m), including forest, savanna, scrubland, seasonal wetland, second-growth forest, pasture, and cropland. ...
Coca has been legally
Fig. 5. Land-use intensity for six social and economic groups as determined from a random sample of video images captured during a validation flight. ...
doi:10.5751/es-02453-130136
fatcat:a4ac7goxnbegvbtkah7wijgcme
Not avian but mammalian scavengers efficiently consume carcasses under heavy snowfall conditions: a case from northern Japan
2021
Mammalian Biology
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2021; you can also visit the original URL.
The file type is application/pdf.
We measured the visits of scavengers using camera traps between 2010 and 2020. The total scavenger richness observed was relatively low (only 12 species) compared to warmer biomes. ...
We also thank Marcus Clauss and the anonymous reviewers for providing useful suggestions to improve our manuscript. All research reported in this paper adhered strictly to the current laws of Japan. ...
For carcasses of wild origin, we used roadkill or legally culled animals. We placed each carcass on the mosaic forests, described above, during midwinter with heavy snowfall from 2010 to 2020. ...
doi:10.1007/s42991-020-00097-9
fatcat:ktbht2szmjd57ag6trasm4y7ya
A Mechanistic Approach to Evaluation of Umbrella Species as Conservation Surrogates
2006
Conservation Biology
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2017; you can also visit the original URL.
The file type is application/pdf.
We surveyed the species diversity of birds, butterflies, carabids, and forest-floor plants in forest sites across an area (1600 km 2 ) in which we delineated large breeding home ranges of Northern Goshawk ...
Although species with large area requirements are sometimes used as umbrella species, their general utility as conservation tools is uncertain. ...
Sakai for permission and assistance in analyzing the land-use map. Funding was provided by a grant from the Japan Ministry of the Environment. ...
doi:10.1111/j.1523-1739.2006.00444.x
pmid:17002768
fatcat:ghgcqvtq6bdkjdxoqkgywklk6y
Modeling the Spatial Distribution of Soil Heavy Metals Using Random Forest Model—A Case Study of Nairobi and Thirirka Rivers' Confluence
2020
Journal of Geographic Information System
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2021; you can also visit the original URL.
The file type is application/pdf.
The model was generated using the Random Forest package in R. Using R 2 to assess the prediction accuracy, the Random Forest model generated satisfactory results for all the elements. ...
The Random Forest model performed satisfactorily. ...
The image classification was done using the Random Forest package in R version 3.6.1 software. ...
doi:10.4236/jgis.2020.126035
fatcat:2fhuureqvjci5gfn6sdeksvcje
A Machine-Based Prediction Model of ADHD Using CPT Data
2020
Frontiers in Human Neuroscience
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
We used the MOXO-CPT version that included visual and auditory stimuli distractors. ...
Results showed that the ML proposed model performed better and had a higher accuracy than the benchmark approach that used clinical data only. ...
Table 2 presents the random forest feature importance. In the current study, we used the accuracy-based importance as a measure of variable importance in the random forest. ...
doi:10.3389/fnhum.2020.560021
pmid:33093829
pmcid:PMC7528635
fatcat:fjd3ygdi25gwjkzx3i7k2mcl2y
« Previous
Showing results 1 — 15 out of 4,634 results