same semantic label. Therandom selectionof neighbors can preservesparsityof hypergraph, meanwhile, improve thegeneralization abilityof the model. Since it is hard to measure the differences of samples with the same label accurately, the definition of each entry is set binary as defined in Eq.(1)...
The system determines a similarity among the label proposals and selects a classification. The system identifies one of the label proposals as identifying the semantic meaning. The system stores the identifier of the field with the identified one of the label proposals that identifies the semantic ...
In linguistic communication, the speaker’s utterance simultaneously generates several levels of meaning related to Grice’s distinction between what is said and what is implicated. Yet, there is a lively debate about the two notions. This study gives a general overview of three schools: Semantic ...
HTML stands for "HyperText Markup Language"; its purpose is to mark up, or label, your content. The more accurately you mark it up, the better. New elements are being introduced in HTML5 to more accurately label common web page parts, such as headers and footers. ...
The requirement for large-scale annotation has been a key obstacle to the supervised training of DL models in specialized domains such as pathology, given the task’s tediousness and the lack of experts with domain-specific knowledge to sufficiently label training data29. One approach to help miti...
Note that when we view P0 this way, it will label the IRIs independently of any information about the IRI, since P0(Y1:n | X1:n) = P0(Y1:n). For P1 to assign datasets with meaningful IRIs a higher probability than P0, P1 must assign the same meaning to the same boundary node ...
Other ways of referring to the difference as it is conceptualized here include: object descriptors versus relational terms such as between, parent, or borrow (Gentner & Loewenstein, 2002); general, fast mapping versus detailed, full mapping (Wagovich & Newhoff, 2004); and name or label ...
It is shown that the old population's increase will change the classifier for label "Old person" and has been impelling the evolution of the semantic meaning of "Old". The CM iteration algorithm for unseen in- stance classification is introduced....
The semantic segmentation task is to assign a label from a label set to each pixel in an image. In the case of fully supervised setting, the dataset consists of images and their corresponding pixel-level class-specific annotations (expensive pixel-level annotations). However, in the weakly-...
Note in this second case how detailed domain knowledge is required to understand the meaning of some of the contributions, e.g. “conceived the Brainbow strategies”, “built initial constructs”, “validate constructs” or “screened mouse lines”. ...