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Showing 1 to 4 of 4 for “"Context Prediction"”.

  1. Human-Machine Alignment for Context Recognition in the Wild

    … understand, at any moment in time, the personal context that the user is in. The context – where the user is, what she is doing and with whom – allows the machine to represent the world in user’s terms. The context must be inferred from a stream of sensor readings generated by smart wearables …

    trento Repository record for Human-Machine Alignment for Context Recognition in the Wild (opens in a new tab)

  2. Investigating the use of ensemble techniques in predicting object-oriented software maintainability

    Context: Prediction of the maintainability of classes in object-oriented systems is a significant factor for software success; however, it is a challenging task. Although prior object-oriented software maintainability literature acknowledges the role of machine learning techniques as valuable …

    strathclyde Repository record for Investigating the use of ensemble techniques in predicting object-oriented software maintainability (opens in a new tab)

  3. Predicting Future Locations and Arrival Times of Individuals

    … progression from location-awareness to location-prediction can enable the next generation of proactive, context-predicting applications. Existing location-prediction algorithms predict someone's next location. In contrast, this dissertation predicts someone's future locations. Existing algorithms …

    vt Repository record for Predicting Future Locations and Arrival Times of Individuals (opens in a new tab)

  4. A Comprehensive Solution to Predict Short-term and Long-term user Intention with Environmental Context

    Prediction of user intention is an important task in business intelligence and analysis. Our research divides user intention into short-term and long-term, corresponding to the first purchase and repurchase scenarios respectively. To model short-term user consumption intention prediction, we …

    carleton Repository record for A Comprehensive Solution to Predict Short-term and Long-term user Intention with Environmental Context (opens in a new tab)