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In traditional multiple instance learning (MIL), both positive and negative bags are required to learn a prediction function. However, a high human cost is needed to know the label of each bag—positive or negative. Only positive bags contain our focus (positive instances) while negative bags consist of noise or background (negative instances). So we do not expect to spend too much to label the negative...
Variety in Big Data means we have a wide range of data types and sources: e.g. File systems and database systems co-exist for decades as two popular data-accessing interfaces. This work is to unify these two interfaces by presenting a Data Interface All-iN-A-place (DIANA). The first challenge lies in distinguishing structured and un-structured data and diverting them to different underlying platforms...
This paper investigates the informativeness of some popular visual technical patterns among technical practitioners in China's stock market, which are quantitatively defined and automatically recognized using a nonparametric kernel regression method. By comparing the unconditional empirical distribution of daily returns to the distribution of the returns that follow these technical patterns, we find...
A design of on-line monitoring system of high-voltage circuit breaker based on ARM chip and embedded Linux platform is presented. The system has good stability, low cost, small size, low power consumption, strong scalability and large memory capacity, and can be used for both AC circuit breaker and DC circuit breaker. So it solved the integrated on-line monitoring problem of high-voltage breaker that...
The occurrence of acute hypotensive episodes (AHE) in intensive care units (ICU) seriously endanger the lives of patients, and are depended mainly on the expert experience of doctors to treat currently. How to detect and predict AHE in advance has become a clinical problem which is highly paid attention to by the medical world. In this paper, the theory of medical Informatics has been applied to achieve...
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