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Biosignals-based affective computing plays an important role in human-computing interaction. In recent years, a lot of works have been successfully implemented for emotion recognition with biological signals. However most of them are computationally expensive due to the complexity of models. In this paper, we present a multi-label learning (MLL) method to map biological signals to an affective model...
A Rule Set model consists of a small number of short rules for interpretable classification, where an instance is classified as positive if it satisfies at least one of the rules. The rule set provides reasons for predictions, and also descriptions of a particular class. We present a Bayesian framework for learning Rule Set models, with prior parameters that the user can set to encourage the model...
The high-frequency signals going through high-speed connectors are dominant interference sources in communication enclosures. However, it is difficult to estimate their EMC influence with numerical simulation. In this paper, a mixed strategy is proposed to simplify the EMI simulation of complex communication equipment. Firstly, a background transmission loss is introduced and determined by tested...
Cloud computing is a new computing model which can share a set of configurable computing resources with users through real-time network. Users hardly have any interaction with service providers, but can take advantage of the resources with the minimum configuring spending. As a kind of integrated model, SOA blends the developing and the integrated process, diminishes the differences of various practical...
This paper proposes a model, namely eL-PCDA, for overall lifecycle process management on e-Learning service by considering learner's behaviours during e-learning services, scheduling policies and monitoring mechanism of learning activities. Business process modeling for e-Learning services can be taken according to the study ordering of the knowledge points by using workflow modeling technology and...
The performance and security of ad hoc networks rely on the self-organized, collaborative and the trusted between the distributed links. To route and forward the data, it is important to evaluate the individual behavior of each node in network, benevolent nodes can keep the network working smoothly. However, malicious nodes present in the network that try to disrupt, distort or disturb the network...
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