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Showing 1 to 5 of 5 for “"Temporal abstraction"”.

  1. CBPsp: complex business processes for stream processing

    … contribution allows for the explicit use of temporal abstraction and stream analysis knowledge to support enactment in real-time. Finally, the last contribution is the real-time integration of heterogeneous streams based on Service-Oriented Architecture principles.

    uoit Repository record for CBPsp: complex business processes for stream processing (opens in a new tab)

  2. Scalable hierarchical evolution strategies

    … in conjunction with HRL methods, which empower temporal abstraction thus allowing agents to tackle more challenging problems. We introduce a novel method merging S-ES and HRL, which creates a highly scalable and fast (wall-clock time) algorithm. We demonstrate that S-ES needs no hyper-parameter …

    cape-town Repository record for Scalable hierarchical evolution strategies (opens in a new tab)

  3. A method to detect and represent temporal patterns from time series data and its application for analysis of physiological data streams

    … making critical decisions about patient care. Temporal abstraction and data mining are two research fields that have tried to synthesize time oriented data to detect hidden relationships that may exist in the data. Various researchers have looked at techniques for generating abstractions from …

    uoit Repository record for A method to detect and represent temporal patterns from time series data and its application for analysis of physiological data streams (opens in a new tab)

  4. SDTDMn0 : a multidimensional distributed data mining framework supporting time series data analysis for critical care research

    Premature birth is one of the major perinatal health issues across the world. In 2007, the estimated Canadian preterm birth rate was 8.1 % (CIHI, 2009). Recent research has shown that conditions, such as nosocomial infections or apnoeas, exhibit certain variations in the baby's physiological …

    uoit Repository record for SDTDMn0 : a multidimensional distributed data mining framework supporting time series data analysis for critical care research (opens in a new tab)

  5. Exploiting insensitivity in stochastic systems to learn approximately optimal policies

    … optimal policies is presented that achieves temporal and spatial abstraction though local approximations. Through a mixed simulation and analytic representation, a directed graph is generated to determine the underlying POMDP structure. The result is a multi-query method for generating the …

    uiuc Repository record for Exploiting insensitivity in stochastic systems to learn approximately optimal policies (opens in a new tab)