Sentence examples for much more generalized from inspiring English sources

Exact(3)

But his findings have nothing to do with Google as a company, either – they're concerned with much more generalized stats, like your computer's rate of CO2 production when you look at a webpage.

The random-hidden-node extreme learning machine (ELM) is a much more generalized cluster of single-hidden-layer feed-forward neural networks (SLFNs) which has three parts: random projection, non-linear transformation, and ridge regression (RR) model.

But notice that the approach in (Nolan 2016) allows for approximative consideration of much more generalized spherical and related distributions, assuming however an explicit representation of their gauge function is given.

Similar(54)

Now that the weak generalized φ-hemicontractive mappings are much more general mappings.

More likely, the popular success of "Memento" has to do with a much vaguer, more generalized identification with the hazy mental landscape of amnesia, a nagging sense that, even in our relatively untraumatized middle-class lives, something is missing and we can't quite recall what it is.

The lure is neither the individuals nor the material they perform so much as a more generalized feeling of large-spiritedness that the Ailey company always delivers.

Finally, the low classification accuracy for the classifiers trained on the feature sets derived from solo music database when tested on RWC database indicates that RWC database is a more generalized database with much more variance in the data as compared to the solo music database collected for the current study.

Most studies show generalized seizures are much more common compared to partial seizure [ 4, 5, 7].

Much more effective is obtaining of the needed information using generalized knowledge in the form of graphs.

More accurate models such as the generalized Gaussian [18] and, more recently, the generalized gamma model [19] have been shown to provide much more accuracy at the cost of higher complexity.

Therefore, the least learning machine (LLM) is extended into its generalized version in the sense of adopting much more error functions rather than mean squared error (MSE) function only.

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