10th International Conference, ALT'99 Tokyo, Japan, December 6-8, 1999 Proceedings (Lecture Notes in Computer Science)
Edición de la obra Algorithmic learning theory
| Autor | Osamu Watanabe |
|---|---|
| Editorial | Springer |
| Fecha de publicación | January 7, 2000 |
| Idioma | inglés |
| Páginas | 363 |
| Formato | Paperback |
| ISBN-13 | 9783540667483 |
| ISBN-10 | 3540667482 |
| OCLC | 42892193 |
| LCCN | 99057420 |
| Número de Cutter |
W324a |
ThisvolumecontainsallthepaperspresentedattheInternationalConferenceon Algorithmic Learning Theory 1999 (ALT’99), held at Waseda University Int- nationalConferenceCenter,Tokyo,Japan,December 6?8,1999.Theconference was sponsored by the Japanese Society for Arti cial Intelligence (JSAI). In response to the call for papers, 51 papers on all aspects of algorithmic learning theory and related areas were submitted, of which 26 papers were - lected for presentation by the program committee based on their originality, quality, and relevance to the theory of machine learning. In addition to these regular papers, this volume contains three papers of invited lectures presented byKatharinaMorikoftheUniversityofDortmund,RobertE.SchapireofAT&T Labs, Shannon Lab., and Kenji Yamanishi of NEC, C&C Media Research Lab. ALT’99 is not just one of the ALT conference series, but this conference marks the tenth anniversary in the series that was launched in Tokyo, in Oc- ber 1990, for the discussion of research topics on all areas related to algorithmic learning theory. The ALT series was renamedlast year from\ALT workshop"to \ALT conference",expressing its wider goalof providing an ideal forum to bring together researchers from both theoretical and practical learning communities, producing novel concepts and criteria that would bene t both. This movement wasre?ectedinthepaperspresentedatALT’99,wheretherewereseveralpapers motivated by application oriented problems such as noise, data precision, etc. Furthermore, ALT’99 benet ed from being held jointly with the 2nd Inter- tional Conference on Discovery Science (DS’99), the conference for discussing, among other things, more applied aspects of machine learning. Also, we could celebrate the tenth anniversary of the ALT series with researchers from both theoretical and practical communities.