TY - GEN
T1 - Infosel++
T2 - 10th International Conference on Artificial Intelligence and Soft Computing, ICAISC 2010
AU - Kachel, Adam
AU - Biesiada, Jacek
AU - Blachnik, Marcin
AU - Duch, Włodzisław
PY - 2010
Y1 - 2010
N2 - A large package of algorithms for feature ranking and selection has been developed. Infosel++, Information Based Feature Selection C++ Library, is a collection of classes and utilities based on probability estimation that can help developers of machine learning methods in rapid interfacing of feature selection algorithms, aid users in selecting an appropriate algorithm for a given task (embed feature selection in machine learning task), and aid researchers in developing new algorithms, especially hybrid algorithms for feature selection. A few examples of such possibilities are presented.
AB - A large package of algorithms for feature ranking and selection has been developed. Infosel++, Information Based Feature Selection C++ Library, is a collection of classes and utilities based on probability estimation that can help developers of machine learning methods in rapid interfacing of feature selection algorithms, aid users in selecting an appropriate algorithm for a given task (embed feature selection in machine learning task), and aid researchers in developing new algorithms, especially hybrid algorithms for feature selection. A few examples of such possibilities are presented.
UR - https://www.scopus.com/pages/publications/77955408445
U2 - 10.1007/978-3-642-13208-7_49
DO - 10.1007/978-3-642-13208-7_49
M3 - Conference contribution
AN - SCOPUS:77955408445
SN - 3642132073
SN - 9783642132070
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 388
EP - 396
BT - Artificial Intelligence and Soft Computing - 10th International Conference, ICAISC 2010
Y2 - 13 June 2010 through 17 June 2010
ER -