Sentence examples for data-driven processing from inspiring English sources

Research on mental processing improves on this by revealing a relationship between at least two types of processes: data-driven processing and hypothesis-driven processing (otherwise known as schema processing).

This framework can provide a conceptual vehicle in which individual concentrated efforts in data-driven processing can readily be integrated into useful, coherent workflows with support a big picture strategy.

The Data-driven Processing Scale (Halligan et al., 2003) is an 8-item scale that assesses the extent to which participants primarily engaged in the processing of sensory as opposed to meaning information during the assault (data-driven processing, e.g. "It was just like a stream of unconnected impressions following each other").

The Ehlers and Clark (2000) model further specifies certain processing styles that are expected to lead to such poor integration of the worst moments of the trauma memory with other autobiographical information, namely data-driven processing and dissociation.

Consistent with the model, questionnaire measures of data-driven processing and dissociation during the assault correlated with the delayed retrieval of other autobiographical memories when remembering trauma hot spots, as indexed by the difference in retrieval times between trauma and negative events.

For instance, Holmes and colleagues showed that both the personality trait schizotypy as well as a data-driven processing style were associated with the number of intrusive memories from a trauma film (Holmes and Bourne 2008; Holmes et al. 2004; Steel and Holmes 2007).

The differential robustness of phoneme representations in frontal versus auditory regions to the effects of aging and noise masking may also arise from the hierarchical organization of speech processing from data-driven sensory processing in auditory cortices to schema-driven linguistic and decision processes in frontal motor regions11,13,36.

For HPC applications using data-driven parallel processing, a tuple is a semantic object.

The frontal speech motor upregulation may result from adaptive changes in resource allocation and/or coping strategy from data-driven sensory processing towards experience/knowledge-based top-down predictions from articulatory gestures.

Given the rich and complex nature of the acoustic environment, data mismatch between train and test conditions is a major hurdle in data-driven audio processing systems.

We think that the tools should be developed based on the principles of data-driven signal processing and systems biology which is based on interpreting large amounts of genome-wide measurement data.