Zobrazeno 1 - 10
of 46
pro vyhledávání: '"Masamichi Shimura"'
Publikováno v:
Proceedings of the Twentieth Annual Conference of the Cognitive Science Society ISBN: 9781315782416
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fc83cf95a13aff4af122f9aa1a7877ff
https://doi.org/10.4324/9781315782416-178
https://doi.org/10.4324/9781315782416-178
Publikováno v:
Transactions of the Japanese Society for Artificial Intelligence. 21:295-300
This paper proposes a novel method for generating a decision tree to discriminate polymers accurately with the near-infrared rays spectrum. The polymer discrimination system is needed for recycling plastics, and the near-infrared rays spectrum is use
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5bff6b90775629e06317071f50a5476e
https://doi.org/10.1527/tjsai.21.295
https://doi.org/10.1527/tjsai.21.295
Autor:
Noriko Otani, Masamichi Shimura
Publikováno v:
Transactions of the Japanese Society for Artificial Intelligence. 19:399-404
In representing classification rules by decision trees, simplicity of tree structure is as important as predictive accuracy especially in consideration of the comprehensibility to a human, the memory capacity and the time required to classify. Trees
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6c1c9b824b4468396e319df6b950a68a
https://doi.org/10.1527/tjsai.19.399
https://doi.org/10.1527/tjsai.19.399
Publikováno v:
Systems and Computers in Japan. 33:112-120
When solving a problem, humans often draw diagrams in order to acquire useful information such as the conditions that are not clearly specified. The importance of using diagrams for reasoning and problem solving lies not only in clarifying humans' in
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3563118174818e3951c5d76964446f92
https://doi.org/10.1002/scj.1138
https://doi.org/10.1002/scj.1138
Publikováno v:
Systems and Computers in Japan. 32:32-42
Several studies of mathematical and arithmetical problem solvers have been made in an attempt to build systems that perform human intellectual activities. Most of such systems, however, support only simple problems. In order to solve more complicated
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3ae58c5ee3e10b90602e9f61540a1225
https://doi.org/10.1002/1520-684x(200102)32:2<32::aid-scj4>3.0.co
https://doi.org/10.1002/1520-684x(200102)32:2<32::aid-scj4>3.0.co
Autor:
Masamichi Shimura, Tsuyoshi Murata
Publikováno v:
Systems and Computers in Japan. 32:69-75
Acquisition of experimental data is very important in the discovery of theorems and rules. In most existing discovery systems, extensive subject knowledge is required to evaluate experimental results, or numerous experiment plans are prelearned. On t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::385596c58d98d00d30ff38c9e14f9503
https://doi.org/10.1002/scj.1020
https://doi.org/10.1002/scj.1020
Publikováno v:
Machine Learning. 38:157-180
Detecting and diagnosing errors in novice behavior is an important student modeling task. In this paper, we describe MEDD, an unsupervised incremental multistrategy system for the discovery of classes of errors from, and their detection in, novice pr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ee642415c2c79ae5b6630c0e4235a6a2
https://doi.org/10.1023/a:1007690108308
https://doi.org/10.1023/a:1007690108308
Autor:
Tsuyoshi Murata, Masamichi Shimura
Publikováno v:
Systems and Computers in Japan. 29:74-81
In the discovery of useful theorems or laws from the data of observed instances, structures that group instances often play an important role. Acquiring data from such structure avoids the combinatorial explosion of numerous instances and enables the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bac2b61880c136e423ea47506e2279e5
https://doi.org/10.1002/(sici)1520-684x(19980615)29:6<74::aid-scj7>3.0.co
https://doi.org/10.1002/(sici)1520-684x(19980615)29:6<74::aid-scj7>3.0.co
Publikováno v:
User Modeling and User-Adapted Interaction. 8:103-129
The automatic discovery of classes of errors that represent misconceptions and other knowledge errors underlying discrepancies in novice behavior is not a trivial task. A novel approach to this problem is described, in which relationships among behav
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8bdbca366711bd15cb4a190c5561bc9d
https://doi.org/10.1023/a:1008225015395
https://doi.org/10.1023/a:1008225015395
Publikováno v:
Zisin (Journal of the Seismological Society of Japan. 2nd ser.). 48:469-478
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fe208c2a04f3080ca69cc0527ae28d6e
https://doi.org/10.4294/zisin1948.48.4_469
https://doi.org/10.4294/zisin1948.48.4_469