Sentence examples for a satisfactory classification from inspiring English sources
However, it is very difficult to obtain a satisfactory classification result by machine learning techniques because of both the curse-of-dimensionality problem and the over-fitting problem.
As a consequence of this lack of a satisfactory classification, the differentiation in clinical practice of the various forms of anemia is, as a general rule, carried out in an inexact, haphazard manner.
From Tables2 and3, we find that Coherency and Cloude decompositions are not able to achieve a satisfactory classification for both sets of data.
The main TG/DTG [7, 8] outcomes were then organized into a data matrix that was processed by exploratory chemometric [9] methods, which allowed a satisfactory classification of all the samples into two homogeneous clusters.
The so-called "curse of dimensionality" [ 8] is a phenomenon in which the number of training samples required for a satisfactory classification is given by an exponential function of the size of the feature space.
The trends were similar for CTVBs and NS-SEC and steeper than for the Townsend score, suggesting the CTVB is a satisfactory classification of socio-economic status in relation to the outcomes assessed in this study.
Since combining it with an elegant quantization scheme would produce satisfactory classification results in the Hamming domain, we adopt the unsupervised equal-width quantization scheme in our analysis due to its simplicity and its less susceptibility against privacy attacks.
The intent, he said, is to earn an "outstanding" CRA rating instead of the "satisfactory" classification both banks received in their last reviews.
The results showed that BAGCT-RBFN can find a shortlist of discriminatory variables with reliability while attain more satisfactory classification accuracy than traditional CT and RBFN.
While conversion of the raw hex data to a sequence alphabet (A,C,T,G) is possible, it is not required to produce satisfactory classification results.
A prototype system is implemented on an FPGA platform and tested with real data of handwritten and printed English characters delivering satisfactory classification results.
