Name
Abstract | ||
|---|---|---|
Nowadays the theory of Machine Learning attracts much attention not only as a subject in Artificial Intelligence, but also
for developing new techniques for mining useful knowledge from various types of data. Originally Machine Learning means methods
of developing learning machines for generating appropriate rules with which training data can be explained. Computational
Logic is originally from mechanizing the activity of explaining why propositions and rules hold.
|
Year | DOI | Venue |
|---|---|---|
2009 | 10.1007/978-3-642-14888-0_24 | JSAI-isAI Workshops |
Field | DocType | Volume |
Training set,Computational logic,Computer science,Data type,Artificial intelligence | Conference | 6284 |
ISSN | ISBN | Citations |
0302-9743 | 3-642-14887-5 | 0 |
PageRank | References | Authors |
0.34 | 1 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Akihiro Yamamoto | 1 | 135 | 26.84 |
| Kouichi Hirata | 2 | 130 | 32.04 |
| Shin-ichi Minato | 3 | 725 | 84.72 |