Titlebook: Discovery Science; 22nd International C Petra Kralj Novak,Tomislav ?muc,Sa?o D?eroski Conference proceedings 2019 Springer Nature Switzerla

Fantasy

Epistemic Uncertainty Sampling approaches, the active learner sequentially queries the label of those instances for which its current prediction is maximally uncertain. The predictions as well as the measures used to quantify the degree of uncertainty, such as entropy, are almost exclusively of a probabilistic nature. In this pa

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compose

橫截,橫斷

得罪

Main Factors Driving the Open Rate of Email Marketing Campaignscheap and fast way to reach existent or potential clients. Getting the recipients to open the email is the first step for a successful campaign. Thus, it is important to understand how marketers can improve the open rate of a marketing campaign. In this work, we analyze what are the main factors dri

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concentrate

Deep Learning Does Not Generalize Well to Recognizing Cats and Dogs in Chinese Paintingstly from human vision, e.g. the requirement for large training sets, and adversarial attacks. Here we show that DL also differs in failing to generalize well to Traditional Chinese Paintings (TCPs). We developed a new DL object detection method A-RPN (Assembled Region Proposal Network), which concat

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Fabric

Predicting Thermal Power Consumption of the Mars Express Satellite with Data Stream Mining continue the great contribution, MEX requires accurate power modeling, mainly to compensate for aging and battery degradation. The only unknown variable in the power budget is the power provided to the autonomous thermal subsystem, which in a challenging environment, keeps all equipment under its o