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Human-centered Internet-of-Things (IoT) applications utilize computational algorithms such as machine learning and signal processing techniques to infer knowledge about important events such as physical activities and medical complications. The inference is typically based on data collected with wearable sensors or those embedded in the environment. A major obstacle in large-scale utilization of these...
Most data stream classification techniques assume that the underlying feature space is static. However, in real-world applications the set of features and their relevance to the target concept may change over time. In addition, when the underlying concepts reappear, reusing previously learnt models can enhance the learning process in terms of accuracy and processing time at the expense of manageable...
A two-player game given in the normal form of payoff matrix may be alternatively viewed as a list of the outcomes of binary interactions between two sets of entities, solutions and tests. The internal structure of such interactions may be characterized by an appropriately constructed coordinate system, which spatially arranges the solutions with respect to coordinates identified with tests, while...
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