Vyhledávat v databázi titulů je možné dle ISBN, ISSN, EAN, č. ČNB, OCLC či vlastního identifikátoru. Vyhledávat lze i v databázi autorů dle id autority či jména.
Projekt ObalkyKnih.cz sdružuje různé zdroje informací o knížkách do jedné, snadno použitelné webové služby. Naše databáze v tuto chvíli obsahuje 3150940 obálek a 950590 obsahů českých a zahraničních publikací. Naše API využívá většina knihoven v ČR.
Learning Classifier Systems: From Foundations to Applications (Lecture Notes in Computer Science / Lecture Notes in Artificial Intelligence)
Rok: 2000
ISBN: 9783540677291
OKCZID: 110089126
Citace (dle ČSN ISO 690):
LANZI, Pier Luca, ed., STOLZMANN, Wolfgang, ed. a WILSON, Stewart W., ed. Learning classifier systems: From foundations to applications. Berlin: Springer, 2000. x, 347 s. Lecture notes in computer science, 1813.
Anotace
Learning Classifier Systems (LCS) are a machine learning paradigm introduced by John Holland in 1976. They are rule-based systems in which learning is viewed as a process of ongoing adaptation to a partially unknown environment through genetic algorithms and temporal difference learning. This book provides a unique survey of the current state of the art of LCS and highlights some of the most promising research directions. The first part presents various views of leading people on what learning classifier systems are. The second part is devoted to advanced topics of current interest, including alternative representations, methods for evaluating rule utility, and extensions to existing classifier system models. The final part is dedicated to promising applications in areas like data mining, medical data analysis, economic trading agents, aircraft maneuvering, and autonomous robotics. An appendix comprising 467 entries provides a comprehensive LCS bibliography.