The variation of locomotor performance with animal size is of substantial ecological and evolutionary importance, and has thus long been a topic of interest in comparative animal physiology and biomechanics1,2,3,4,5,6. Empirical data show that maximum running speed increases up to a critical body...
Our experiments show that SFA combined with the SFA trie can scale up to a factor of 5--10 more indexed dimensions than previous approaches. Thus, it provides lower page accesses and CPU costs by a factor of 2--25 respectively 2--11 for exact similarity search using real world and ...
ronments in which uncertainty is a factor have become a rapidly progressing research area receiving much attention in re- cent years. Maji et al. [31] first introduced the concept of fuzzy soft sets by combining fuzzy sets and soft sets. Majumdar and ...
angular similarity measure and two fuzzy similarity measures F1 and F2 by means of formula: k R (REk Rk Rk F1 Rk F2 ) 4; (18) ─ the ordering of the standard HSFs from the database on increase of average values of the rating assessments Rk ( k 1...
During training, the three individual factor similarities serve as inputs to the neural network, while the comprehensive semantic similarity of the training set serves as the output. Both the BP neural network and most of the currently commonly used neural networks have shown admirably performance ...
Generally, the low complexity is a vital factor in the design of an algorithm. In view of the complexity of local indices being relatively lower, we merely compare the running time of the REDD, RE-LRW, and REDD indices in 12 weighted graph data. Next, the time consumption of the LRE, ...
finally acquiring the ICGF of the polygon Ig, which is m Ig = ∑ wiI(Ai), i=1 (20) wi = si/s, (21) where s refers to the average area factor of polygons; m is the total number of polygons; and wi refers to area weight, which is the area ratio of the features to the ...
specific application context on semantic similarity judgement into weights of attributes of concepts; the second includes integrating the feature model and network model in SSMWCL; while the third introduces the size of the concept intent's weight as an influencing factor on semantic similarity ...
The insulin and insulin-like growth factor receptor family in neoplasia: An update. Nat. Rev. Cancer 2012, 12, 159–169. [Google Scholar] [CrossRef] Gao, J.; Chang, Y.S.; Jallal, B.; Viner, J. Targeting the insulin-like growth factor axis for the development of novel therapeutics ...
Multiple factor hierarchical clustering algorithm for large scale web page and search engine clickstream data. Ann. Oper. Res. 2012, 197, 123–134. [CrossRef] 16. Nguyen, T.T.S.; Lu, H.Y.; Lu, J. Web-page recommendation based on web usage and domain knowledge. IEEE Trans. Knowl. ...