Sentence examples for multidimensional space that from inspiring English sources

A calibration set comprises the multidimensional space that represents the samples for prediction.

Nearest neighbor (NN) queries ask for the point(s) in a multidimensional space that are closest to a given point.

A multidimensional optimization problem is given, along with an objective function to evaluate the fitness of each candidate point in parameter space; the swarm is typically modeled by particles in this multidimensional space that have a position and a velocity.

Principal component analysis is an unsupervised method, which tries to find the directions in the multidimensional space that explains most of the variation in the data.

SVR, another non-linear model, constructs a hyperplane in a multidimensional space that provides minimum error by employing a non-linear Kernel function.

If the edge lengths of a particular GT are divided by the relative evolution rate of the given gene, the normalized relative edge lengths form a vector that identifies a point in a multidimensional space that describes the tree shape.

In each of these cases one is seeking a point in a multidimensional parameter space that produces maximal perceived quality.

The evaluation shows that the models accurately identify regions in the multidimensional parameter space that increase the quality of the process (i.e. high cut quality).

An important but unexplored goal is therefore to functionally map the joint multidimensional sequence space that contains the combined genotypes of interacting molecules.

MCA produces a new multidimensional space so that the accumulated variance of the coordinates of every probe in a subset of dimensions is optimal.

A PLS model will try to find the multidimensional direction in the X space that explains the maximum multidimensional variance direction in the Y space; that is, it will try to find the spectrum variables in X that can explain the result of burn or health in Y. PLS is particularly suited when the matrix of predictors has more variables than observations.