Titlebook: Knowledge Management and Acquisition for Intelligent Systems; 17th Pacific Rim Kno Hiroshi Uehara,Takayasu Yamaguchi,Quan Bai Conference pr

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Collaborative Data Analysis: Non-model Sharing-Type Machine Learning for Distributed Data,samples and features. Analyzing these types of distributed data are essential tasks in many applications, e.g., medical data analysis and manufacturing data analysis due to privacy and confidentiality concerns. By centralizing the . which are individually constructed in each party, the proposed meth

CAGE

ERA: Extracting Planning Macro-Operators from Adjacent and Non-adjacent Sequences,n past experiences is to augment domains with macro-operators (i.e. frequent operator sequences). In most existing works, macros are generated from chunks of adjacent operators extracted from a set of plans. Although they provide some interesting results this type of analysis may provide incomplete

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Peculate

C-LIME: A Consistency-Oriented LIME for Time-Series Health-Risk Predictions,iction accuracy while ignoring the interpretability of their developed models. To encourage lifestyle changes by patients and employees, an appropriate explanation of why the model outputs high risk is as important as accurately predicting the health risk. In this study, we construct 33 predictive m

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Description Framework for Stakeholder-Centric Value Chain of Data to Understand Data Exchange Ecosyowever, value creation by data exchange involves not only data, but also technologies and a variety of stakeholders that are integrated and in competition with one another. This makes the data exchange ecosystem a challenging subject to study. In this paper, we propose a framework for describing the

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厭惡

Automatic Generation and Classification of Malicious FQDN,(DNS) blacklists (DNSBLs) have been created. These are “blacklists” of malicious hosts on the Internet that are reputed to send spam email and other anti-social behavior. Most email servers can be configured to reject messages that are sent from the hosts on these lists. Because it is difficult to k

Aqueous-Humor