Sentence examples for data requirements to from inspiring English sources
Random forest feature selection performed over varying training sets provides a subset of generalized CIEL*a*b* co-occurrence texture features, while sample selection strategies with minimal constraints reduce training data requirements to achieve reliable results.
In order to overcome data and modelling limitations associated with statistical and engineering modelling approaches to energy efficiency and renewable energy retrofit measures, energy suppliers and policy-makers often use simplified methods with limited data requirements to assess dwellings.
However, as models become more granular, the data requirements to parameterize them become more limiting.
In practice, the data requirements to estimate equation (1) are substantial.
Thus, data requirements to identify such effects are rather high, which is a main reason why there is a still a paucity of studies investigating such effects.
We envision a partially reconfigurable FPGA region that end-users can access for their custom acceleration needs, and a static "template" region offered by the data centre to manage all Input/Output (IO) data requirements to the FPGA.
Broadband wireless transmission is employed in delivering this high speed data requirement to subscribers in a very hostile radio environment which offers multipath to transmitted signal.
Moreover, we provide a list of the data requirements necessary to implement each of the methodologies.
ARM employs a model-driven approach to allow data persistence to adapt to changes in data requirements according to archetypes that represent general domain concepts and templates tailored to ARM constraints.
Introduce data requirements similar to those currently required for substances produced or imported in quantities of ≥ 10 metric tons/year for substances produced or imported in quantities of ≥ 1 metric tons/year.
A key novelty in this work is that the proposed system does not increase the training data requirements compared to the SSS systems which is far less than what is needed for building a good-quality unit selection system.
