Leveraging weak or noisy supervision for building effective machine learning models has long been an important research problem. Its importance further increased recently due to the growing need large-scale datasets train deep models. Weak could originate from multiple sources including non-expert annotators automatic labeling based on heuristics user interaction signals. There is extensive amo...

Multi-label text classification has been widely concerned by scholars due to its contribution practical applications. One of the key challenges in multi-label is how extract and leverage correlation among labels. However, it quite challenging directly model correlations labels a complex unknown label space. In this paper, we propose Label Prompt Text Classification (LP-MTC), which inspired idea...

Roman dominating function} on a digraph $D$ with vertex set $V(D)$ is a labeling$fcolon V(D)to {0, 1, 2}$such that every vertex with label $0$ has an in-neighbor with label $2$. A set ${f_1,f_2,ldots,f_d}$ ofRoman dominating functions on $D$ with the property that $sum_{i=1}^d f_i(v)le 2$ for each $vin V(D)$,is called a {em Roman dominating family} (of functions) on $D$....

Retailers’ brands maker with private label have significantly boosted market share in recent years. Creating new brands for goods or services provide differentiation with similar distributors. The main aim of this paper is to test which component can be more effective in consumers’ purchase intention based on using private label for goods’ image. This research data was collected by prior st...

the purpose of this report is to present the results of analysis of actual glucosamine and/or chondroitin contents of several such products in the market place and to determine if they significantly deviate from their label claim. a total of fourteen products containing glucosamine sulfate and nine products containing chondroitin sulfate were evaluated. the amounts of glucosamine and chondroiti...

artificial intelligence (ai) techniques offer powerful objective algorithms foranalysis of multimodal and high-dimensional data. recently, these techniques havebecome a reliable tool in the medical domain. this paper describes an efficienttechnique for building an application that is capable of forecasting and classifyinghealthcare information using machine learning as a subfield of ai methods....