Acquisition of human feelings in music arrangement

IJCAI International Joint Conference on Artificial Intelligence

Volumn 1, Issue , 1997, Pages 268-273

  Numao, Masayuki ^a   Kobayashi, Masashi ^a   Sakaniwa, Katsuyuki ^a,b  

^a TOKYO INSTITUTE OF TECHNOLOGY   (Japan)

^b PANASONIC CORPORATION   (Japan)

Author keywords

[No Author keywords available]

Indexed keywords

HUMAN FEELINGS; MACHINE LEARNING TECHNIQUES; MUSIC RECOGNITION; MUSIC SCORES; SECOND LEVEL;

ARTIFICIAL INTELLIGENCE;

LEARNING SYSTEMS;

EID: 0002152636     PISSN: 10450823     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (18)

1. L. DeRaedt, editor. Advances in Inductive Logic Programming. IOS Press/Ohmsha, Amsterdam, Oxford, Tokyo, Washington, DC, 1996.
2. K. Furukawa. Towards verbalization of tacit knowledge by inductive logic programming. In Keio International Workshop on Verbalization of Tacit Knowledge based on Inductive Inference. 1996.
3. K. Furukawa. A framework for verbalizing unconscious knowledge based on inductive logic programming. In Machine Intelligence 15. Oxford University Press, 1997.
4. G. Hatano, editor. Music and Cognition (in Japanese). University of Tokyo Press, Tokyo, 1987.
5. Y. Hiraga. A knowledge representation for recognition of music (in Japanese). In In [Hatano, 1987], chapter 4, pages 97-130. 1987.
6. H. Katayose, M. Imai, and S. Inokuchi. An approach to extract sentiments in music (in Japanese). Journal of Japanese Society for Artificial Intelligence, 3(6):748-754, 1988.
7. H. C. Longuet-Higgins. Music. In Mental Processes, chapter II, pages 57-188. The MIT Press, Cambridge, MA, 1987.
8. L. B. Meyer. Emotion and meaning in music. University of Chicago Press, 1956.
9. R. S. Michalski and G. Tecuci, editors. Machine Learning: A Multistrategy Approach (Vol. IV). Morgan Kaufmann, San Francisco, CA, 1994.
10. R. J. Mooney and D. Ourston. A multistrategy approach to theory refinement. In In [Michalski and Tecuci, 1994], chapter 5, pages 141-164. 1994.
11. M. Numao and M. Shimura. Explanation-based acceleration of similarity-based learning. In Proceedings of the Sixth International Workshop on Machine Learning, pages 58-60, Palo Alto, CA, 1989. Morgan Kaufmann.
12. M. Numao, S. Morita, and K. Karaki. A learning mechanism for logic programs using dynamically shared substructures. In Machine Intelligence 15. Oxford University Press, 1997.
13. J. R. Quinlan. Learning logical definitions from relations. Machine Learning, 5:239-266, 1990.
14. S. Tangkitvanich and M. Shimura. Refining a relational theory with multiple faults in the concept and subconcept. In Machine Learning: Proc. 9th International Workshop, pages 436-444, 1992.
15. P. M. Todd and D. G. Loy, editors. Music and Connectionism. The MIT Press, Cambridge, MA, 1991.
16. S. Tsuji, editor. KANSEI Information Processing (in Japanese). Grant in Aid for Scientific Research of Ministry of Education, Science, Culture, and Sports of Japan under Grant-in-Aid for Special Project Research 04236107, 1995.
17. Gerhard Widmer. Understanding and learning musical expression. In Proc. International Computer Music Conference, pages 268-275, 1993.
18. G. Widmer. Learning with a qualitative domain theory by means of plausible explanations. In In [Michalski and Tecuci, 1994], chapter 25, pages 635-655. 1994.