Titlebook: Advances in Artificial Intelligence; Selected Papers from Yukio Ohsawa,Katsutoshi Yada,Naohiro Matsumura Conference proceedings 2020 The Ed

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書目名稱Advances in Artificial Intelligence影響因子(影響力)




書目名稱Advances in Artificial Intelligence影響因子(影響力)學(xué)科排名




書目名稱Advances in Artificial Intelligence網(wǎng)絡(luò)公開(kāi)度




書目名稱Advances in Artificial Intelligence網(wǎng)絡(luò)公開(kāi)度學(xué)科排名




書目名稱Advances in Artificial Intelligence被引頻次




書目名稱Advances in Artificial Intelligence被引頻次學(xué)科排名




書目名稱Advances in Artificial Intelligence年度引用




書目名稱Advances in Artificial Intelligence年度引用學(xué)科排名




書目名稱Advances in Artificial Intelligence讀者反饋




書目名稱Advances in Artificial Intelligence讀者反饋學(xué)科排名

甜瓜

Malaise

978-3-030-39877-4The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl

清楚

Pat Langdon,Jonathan Lazar,Hua Dongf capturing their information. Various graph-based techniques exist that report on the characteristics of nodes and edges, e.g., author-citation networks, social interactions, and so on. A significant amount of information can be extracted by summarizing the surrounding network structure of nodes, e

consolidate

Pat Langdon,Jonathan Lazar,Hua Dongical health checkup data. In this study, we carefully examine insurance claims data to identify onset of diseases and use the data for supervised learning. We aim to predict whether lifestyle-related diseases, except cancer, will develop within a year. We adopt the undersampling and bagging approach

Transfusion

https://doi.org/10.1007/978-1-349-27726-1tems and sensors that can recognize and interpret human affects. Affective computing has been applied in various domains, and one of the applied domains is in the marketing area to increase the consumers’ appeal and attraction. In particular, advertisements (ads) can convey amounts of information in

otic-capsule

https://doi.org/10.1007/978-1-349-27726-1 For instance, the time-series deep Markov model has been proposed along with an inference network trained using variational inference. However, the original proposal did not fully leverage the model ability for data assimilation. Therefore, we aim to evaluate the suitability of a deep Markov model

Glutinous

貪婪的人

Harpoon

https://doi.org/10.1007/978-3-540-29828-1esent a negotiating agent that can search for suitable bids that obtain high joint utility values near a Nash bargaining solution by using a novel bid searching strategy. The proposed agent finished in second place in the social welfare category in International Automated Negotiating Agents Competit