| 2002 |
|---|
| 26 | EE | Tsuyoshi Murata,
Hiroki Kato,
Masamichi Shimura,
Masayuki Numao:
DIPS: Diagrammatic arithmetic problem solver.
Systems and Computers in Japan 33(6): 112-120 (2002) |
| 2001 |
|---|
| 25 | EE | Tsuyoshi Murata,
Ran Hosoya,
Shingo Kawabe,
Masamichi Shimura:
A problem solver for quadratic functions.
Systems and Computers in Japan 32(2): 32-42 (2001) |
| 24 | EE | Tsuyoshi Murata,
Masamichi Shimura:
A method of inductive machine discovery based on experimental data acquisition.
Systems and Computers in Japan 32(4): 69-75 (2001) |
| 2000 |
|---|
| 23 | | Raymund Sison,
Masayuki Numao,
Masamichi Shimura:
Multistrategy Discovery and Detection of Novice Programmer Errors.
Machine Learning 38(1-2): 157-180 (2000) |
| 1998 |
|---|
| 22 | EE | Tsuyoshi Murata,
Masamichi Shimura:
A method of machine discovery based on geometrical structure.
Systems and Computers in Japan 29(6): 74-81 (1998) |
| 21 | EE | Raymund Sison,
Masayuki Numao,
Masamichi Shimura:
Discovering Error Classes from Discrepancies in Novice Behaviors Via Multistrategy Conceptual Clustering.
User Model. User-Adapt. Interact. 8(1-2): 103-129 (1998) |
| 1997 |
|---|
| 20 | | Rayond Sison,
Masayuki Numao,
Masamichi Shimura:
Using Data and Theory in Multistretegy (Mis)Concept(ion) Discovery.
IJCAI (1) 1997: 274-279 |
| 1996 |
|---|
| 19 | | Tsuyoshi Murata,
Masamichi Shimura:
Machine Discovery Based on Numerical Data Generated in Computer Experiments.
AAAI/IAAI, Vol. 1 1996: 737-742 |
| 18 | | Einoshin Suzuki,
Masamichi Shimura:
Exceptional Knowledge Discovery in Databases Based on Information Theory.
KDD 1996: 275-278 |
| 1994 |
|---|
| 17 | | Tsuyoshi Murata,
Masami Mizutani,
Masamichi Shimura:
A Discovery System for Trigonometric Functions.
AAAI 1994: 645-650 |
| 16 | | Masayuki Numao,
T. Maruoka,
Masamichi Shimura:
Inductively Speeding Up Logic Programs.
Machine Intelligence 13 1994: 441-458 |
| 1993 |
|---|
| 15 | | Somkiat Tangkitvanich,
Masamichi Shimura:
Learning from an Approximate Theory and Noisy Examples.
AAAI 1993: 466-471 |
| 1992 |
|---|
| 14 | | Boonserm Kijsirikul,
Masayuki Numao,
Masamichi Shimura:
Discrimination-Based Constructive Induction of Logic Programs.
AAAI 1992: 44-49 |
| 13 | | Somkiat Tangkitvanich,
Masamichi Shimura:
Refining a Relational Theory with Multiple Faults in the Concept and Subconcepts.
ML 1992: 436-444 |
| 1991 |
|---|
| 12 | | Boonserm Kijsirikul,
Masayuki Numao,
Masamichi Shimura:
Efficient Learning of Logic Programs with Non-determinant, Non-discriminating Literals.
ML 1991: 417-421 |
| 1990 |
|---|
| 11 | | Niall Murtagh,
Masamichi Shimura:
Parametric Engineering Design Using Constraint-Based Reasoning.
AAAI 1990: 505-510 |
| 10 | EE | Masayuki Numao,
Masamichi Shimura:
A Knowledge-Level Analysis of Explanation-Based Learning.
IEA/AIE (Vol. 2) 1990: 959-967 |
| 1989 |
|---|
| 9 | | Masayuki Numao,
Masamichi Shimura:
Explanation-Based Acceleration of Similarity-Based Learning.
ML 1989: 58-60 |
| 1986 |
|---|
| 8 | | Masamichi Shimura,
Seiichiro Sakurai:
Learning Arithmetic Problem Solver.
AAAI 1986: 1036-1040 |
| 1984 |
|---|
| 7 | | Masayuki Numao,
Masamichi Shimura:
Evaluation of Graph Representations with Active Nodes.
RIMS Symposia on Software Science and Engineering 1984: 17-43 |
| 1976 |
|---|
| 6 | | Riichiro Mizoguchi,
Masamichi Shimura:
Nonparametric Learning Without a Teacher Based on Mode Estimation.
IEEE Trans. Computers 25(11): 1109-1117 (1976) |
| 5 | EE | Toshio Imai,
Masamichi Shimura:
Learning with probabilistic labeling.
Pattern Recognition 8(1): 5-10 (1976) |
| 1975 |
|---|
| 4 | | Riichiro Mizoguchi,
Masamichi Shimura:
An Approach to Unsupervised Learning Classification.
IEEE Trans. Computers 24(10): 979-983 (1975) |
| 1973 |
|---|
| 3 | | Masamichi Shimura,
Frank H. George:
Rule-Oriented Methods in Problem Solving.
Artif. Intell. 4(3): 203-223 (1973) |
| 2 | EE | Masamichi Shimura:
Recognizing machines with parametric and nonparametric learning methods using contextual information.
Pattern Recognition 5(2): 149-168 (1973) |
| 1 | EE | Masamichi Shimura,
Toshio Imai:
Nonsupervised classification using the principal component.
Pattern Recognition 5(4): 353-363 (1973) |
