Sentence examples for mapping from input from inspiring English sources
GF-discrepancy based point set is employed to exploit the hidden low-dimensional structure in the mapping from input to the quantity of interest (QOI), a kriging metamodel (Kaymaz, 2005) with higher accuracy and efficiency can be constructed on the low-dimensional subspace.
Neural networks, modeled loosely after the brain, learn the mapping from input values to target output values and can then make predictions on completely new, but similar data.
It can achieve the arbitrary nonlinear mapping from input to output.
The driving sequence u k only influences the algorithmic mapping from input to output.
With this type of architecture, the mapping from input space (i.e., visual words) to latent topics can be done by a simple matrix multiplication.
Supervised machine learning is the most common technique, where the aim is to derive a mapping from input x to output y, given a labeled set of input output pairs [11].
For our purposes, the key point is that Marr's "computational level" describes a mapping from inputs to outputs, without describing intermediate steps.
In contrast to the canonical problems of classification or regression, in learning to rank we are required to learn some mapping from inputs to inter-dependent output variables, so that we may wish to model both stochastic orderings of variable states and statistical dependence relationships between variables.
An alternative approach is to use a single classifier that learns a direct mapping from inputs to the space of hierarchically consistent labels; this can be achieved using structured prediction, which is a framework for learning a mapping from inputs to label spaces that have a structure associated with them.
Idea: treat machine translation as a structured classification task (learn a map from input sentence to output sentence).
Recently Saliency maps from input images are used to detect interesting regions in images/videos and focus on processing these salient regions.
