Titlebook: SOFSEM 2021: Theory and Practice of Computer Science; 47th International C Tomáš Bureš,Riccardo Dondi,Prudence W.H. Wong Conference proceed

thrombus

责任

ncompass the great immortal figures in human literature—Don Quixote, Faust, Sherlock Holmes and so on—as well as the protagonists of single novels such as Anna Karenina, Emma Woodhouse and Emma Bovary and even the unknown characters in the oral tradition of storytelling developed by small communitie

很是迷惑

Volker TurauA syncretistic theoryThis book is devoted to fictional entities or, to be more precise, fictional entities as they emerge from the literary process of storytelling. They encompass the great immortal figures in human literature—Don Quixote, Faust, Sherlock Holmes and so on—as well as the protagonists

Graduated

Khaled Jawhar,Evangelos Kranakisatforms in order to develop software products which are freely available to anyone to use, modify and distribute (Mustonen, 2003). This altruistic behavior seems contra-intuitive from a purely economical point of view. However, intrinsic factors of motivation have been identified as pervasive factor

Mortar

我没有命令

Florian Bridoux,Caroline Gaze-Maillot,Kévin Perrot,Sylvain Senédetermines that those uncomplexed and cationic polymer chains free in the solution mixture of polymer and DNA facilitate and promote gene transfection. Furthermore, by using a combination of synthetic chemistry, polymer physics and molecular biology, Yue confirms that it is those cationic polymer ch

Mendicant

Taylor J. Smith,Kai Salomaamulti-criteria decision making challenges raised in machine This book introduces some contemporary approaches on the application of fuzzy and hesitant fuzzy sets in machine learning tasks such as classification, clustering and dimension reduction. Many situations arise in machine learning algorithms

老巫婆

Michele Flammini,Bojana Kodric,Martin Olsen,Giovanna Varricchiomulti-criteria decision making challenges raised in machine This book introduces some contemporary approaches on the application of fuzzy and hesitant fuzzy sets in machine learning tasks such as classification, clustering and dimension reduction. Many situations arise in machine learning algorithms

flimsy

沟通

Yuval Emek,Shay Kutten,Mordechai Shalom,Shmuel Zaksmulti-criteria decision making challenges raised in machine This book introduces some contemporary approaches on the application of fuzzy and hesitant fuzzy sets in machine learning tasks such as classification, clustering and dimension reduction. Many situations arise in machine learning algorithms