Predicting Auction Price of Vehicle License Plate with Deep Residual Learning
Refereed conference paper presented and published in conference proceedings

香港中文大學研究人員
替代計量分析
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其它資訊
摘要Due to superstition, license plates with desirable combinations of characters are highly sought after in China, fetching prices that can reach into the millions in government-held auctions. Despite the high stakes involved, there has been essentially no attempt to provide price estimates for license plates.

We present an end-to-end neural network model that simultaneously predict the auction price, gives the distribution of prices and produces latent feature vectors. While both types of neural network architectures we consider outperform simpler machine learning methods, convolutional networks outperform recurrent networks for comparable training time or model complexity. The resulting model powers our online price estimator and search engine.
出版社接受日期11.03.2019
著者Chow Yan Chi Vinci
會議名稱The Pacific-Asia Conference on Knowledge Discovery and Data Mining 2019
會議開始日14.04.2019
會議完結日17.04.2019
會議地點Macau
會議國家/地區澳門
會議論文集題名Trends and Applications in Knowledge Discovery and Data Mining
叢書冊次11607
出版年份2019
出版社Springer International Publishing
頁次179 - 188
國際標準書號978-3-030-26142-9
語言美式英語
關鍵詞Price Estimate, Residual Learning, License Plate

上次更新時間 2021-09-01 於 23:04