Sentence examples for relevance method from inspiring English sources

Four IC based methods, including funSimMax and the relevance method, are selected in our evaluation.

The mRMR (minimum redundancy maximum relevance) method [ 11] selects genes that have the highest relevance with the target class and are also minimally redundant, i.e., selects genes that are maximally dissimilar to each other.

Schlicker et al. [ 19] proposed a relevance method based on Lin's method: (4) sim Relevance (t i, t j ) = sim Lin (t i, t j ) × (1 − e − IC m s (t i, t j ) ), where simLin is Lin's similarity method to compare GO terms t i and t j and e is the mathematical constant.

The company's main claim is that it can index web pages significantly faster and cheaper than Google can – Cuill has told potential investors that their indexing costs will be 1/10th of Google's, based on new search architectures and relevance methods.

Purpose of the evaluation should aim to improve programme relevance, methods or results – outcomes.

Thus, it solves the undirected regulatory problems arising from most of current linear/nonlinear relevance methods.

The four IC based methods used in the comparison include funSimMax with Lin's method [ 11] and relevance methods [ 19] separately, the dot product between feature vectors (dot) [ 20], and hausdorff distance [ 15].

Decisions on acceptance or rejection of a article should be based on objective selection criteria (e.g. quality scores for an article) and broad criteria (e.g. importance, usefulness, relevance, methods, ethics and accuracy) [ 22].

The mRMR (Minimum-Redundancy-Maximum-Relevance) method and IFS (Incremental Feature Selection) were used to select a compact feature set (141 features) for the reduction of feature dimension and improvement of prediction performance.

mRMR (minimal-redundancy-maximal-relevance) method selects genes that have the highest relevance with the target class and are also maximally dissimilar to each other.

(2) I (g i, c ) = ∫ p (g i, c ) ln ⁡ p (g i, c ) p (g i ) p (c ) d g i d c The Maximum-Relevance method selects the top m genes in the descent order of I(g i, c), i.e. the best m individual features correlated to the class labels.