Zobrazeno 1 - 10
of 15
pro vyhledávání: '"Katsuhiko TSUJINO"'
Autor:
Hiroyuki ISHIZAKI, Masahiro INOUE, Kazunori MANO, Takashi YUKAWA, Katsuhiko TSUJINO, Akiko Ryu INNES-TAYLOR, Tomoko ADACHI, Yukitoshi NAGAHARA, Atsuko K. YAMAZAKI, Khairiyah Bte Mohd. Yusof, Maria Anityasari
Publikováno v:
Journal of JSEE. 70:5_67-5_73
Autor:
Masahiro INOUE, Hiroyuki ISHIZAKI, Kazunori MANO, Takashi YUKAWA, Katsuhiko TSUJINO, Akiko Ryu INNES-TAYLOR, Tomoko ADACHI, Yukitoshi NAGAHARA, Atsuko K. YAMAZAKI
Publikováno v:
Journal of JSEE. 70:5_61-5_66
Publikováno v:
IEEJ Transactions on Industry Applications. 119:1451-1460
Publikováno v:
International Journal of Human-Computer Studies. 45:499-526
This paper describes a framework for knowledge acquisition based on analysing and interpreting flaws in decision trees. The decision trees inductively learned are analysed using domain and task specific knowledge to detect improper states called flaw
Autor:
Shogo Nishida, Katsuhiko Tsujino
Publikováno v:
Artificial Intelligence in Engineering. 9:265-276
Decision tree induction is one of the most effective techniques for acquiring classification knowledge. However, appropriate pre- and post-processors have to be prepared to achieve continuous input/output mapping, because the decision trees basically
Autor:
Shogo Nishida, Katsuhiko Tsujino
Publikováno v:
Statistics and Computing. 2:75-81
This paper describes the design philosophy of and current issues concerning a knowledge acquisition system namedkaiser. This system is an intelligent workbench for construction of knowledge bases for classification tasks by domain experts themselves.
Autor:
Osamu Kakusho, Katsuhiko Tsujino, Yasuo Nomura, Shunsuke Chigusa, Toru Sakurai, Riichiro Mizoguchi
Publikováno v:
Systems and Computers in Japan. 20:34-49
SPREX II is a continuous speech recognition system which uses the knowledge of experts able to recognize speech by inspecting trajectories of its feature parameters. This system has a powerful environment which supports the construction of its knowle
Publikováno v:
Systems and Computers in Japan. 19:73-84
In the continuously uttered speech, it is often difficult to extract the features of the individual phoneme due to the interaction between phonemes called co-articulation. In such a case, a large amount of empirical knowledge is required for recognit
Publikováno v:
The Journal of the Acoustical Society of America. 84:S168-S169
Conventional speech recognition systems employ procedural languages such as FORTRAN to encode a large amount of heuristic knowledge, which makes the systems inflexible. SPREX (a SPeech Recognition EXpert) is implemented as a knowledge‐based system
Publikováno v:
The Journal of the Acoustical Society of America. 84:S170-S170
A continuous speech recognition expert system named SPREX has been constructed. It simulates the behavior of human experts who can recognize speech by inspecting the trajectories of feature parameters such as formant and power [R. Mizoguchi et al., P