Correlated multi-label feature selection[C]//Proceedings of the 20th ACM Interna- tional Conference on Information and Knowledge Manage- ment, Glasgow, UK, Oct 24-28, 2011. New York, USA: ACM, 2011: 1087-1096.Q. Gu, Z. Li, and J. Han, "Correlated multi-label feature selection," in...
To avoid clutter, we do not label the vertices in d–f. All graphs are weighted, i.e., the line thickness is proportional to the magnitude of the corresponding hopping coefficient. Several different clusters of configurations are visible in the case of H1. The clusters start to form ...
Regularly, these fluorophores are used to specifically label proteins of interest within a cell either as chimeric proteins with photoactivatable fluorescent proteins (PAFPs; in PALM) or as synthetic labels of primary or secondary antibodies (STORM). The photoactivation properties of these fluorophores ...
Subsequently, they proved that the expression of Nestin in CD138+ cells throughout multistep pathogenesis of MM [11, 12]. Therefore, a better understanding of the distinction between CD138- and CD138+ MM plasma cellular characterization will help to develop new targets and strategies for the ...
Then, we integrate the functional correlation into the framework of multi-label linear regression, and introduce robust sparse penalty to achieve the function assignment and representative feature selection simultaneously. For the optimization, we design an efficient algorithm to iteratively solve several ...
Probabilistic approach for multiclass classification with neural network. Artif. Neural Netw. 1991, 10, 1003–1006. 22. Ciarelli, P.M.; Oliveira, E.; Badue, C.; Souza, A.F.D. Multi-Label Text Categorization Using a Probabilistic Neural Network. Int. J. Comput. Inf. Syst. Ind. Manag...
A single-letter expression of the secrecy capacity for this model is still unknown, although a multi-letter bound was provided by Muramatsu [24] and a novel lower bound is recently reported in [25]. As a matter of fact, the complexity of this problem also lies in the derivation of an ...
Gene Selection for Cancer Classification using Support Vector Machines. Mach. Learn. 2002, 46, 389–422. [Google Scholar] [CrossRef] Qureshi, M.N.I.; Min, B.; Jo, H.J.; Lee, B. Multiclass Classification for the Differential Diagnosis on the ADHD Subtypes Using Recursive Feature ...
The label “SF” indicates the selectivity filter. The network was created using software package Gephi [99]. The significant mutual influence between the residues behind the SF and the ion occupancy in specific sites means that perturbations imposed on either residues or ions affect the KcsA ...