Sentence examples for models that needed from inspiring English sources

But as one of the innovators in the last go round, I think there's a much bigger problem lurking on the horizon than a bunch of blogs and aggregators disrupting old media business models that needed disrupting anyway.

Given the large datasets of our case study and the numerous models that needed to be trained to simulate different imbalanced degrees for different ensemble variants, we chose Naïve Bayes as the base classifier in co-training and self-training, because of its computation speed and to avoid tuning hyper-parameters (that many other classifiers require in order to perform well).

Exploration uses abstracted system models that need to be both accurate and fast to simulate.

But many of the cars that consumers want most in a recession — fuel-sipping models that need little maintenance — are still hard to find.

Resource demands are a key parameter of stochastic performance models that needs to be determined when performing a quantitative performance analysis of a system.

However, there are a number of unresolved problems with CFD models that need to be addressed in order for HSE to have confidence in their results for use in Land-Use Planning (LUP) assessments.

The pairing of Spark and TensorFlow should make the deep learning framework more attractive to developers who are creating models that need to run on large computing clusters.

Bold, unproven models that need lots of employees and long periods of time in stealth remain Silicon Valley's expertise said Howard Marks, co-founder of StartEngine.

The data is a key reference in civil engineering for relating heights measured at widely separated locations, and for the computer models that need to understand how the oceans move to forecast future changes in climate.

There is an assumption, central to modern portfolio theory and most asset allocation models, that needs to be revisited: buying and holding a diversified portfolio is the most prudent way to build wealth over the long term.

Such models are therefore useful for stand-level process-based models that need to be easy to use and parameterise and quick to run at large temporal and spatial scales (Ligot et al. [2014a]).