2003 |
11 | EE | Yukiko Yoshida,
Yuiko Ohta,
Kenichi Kobayashi,
Nobuhiro Yugami:
Mining Interesting Patterns Using Estimated Frequencies from Subpatterns and Superpatterns.
Discovery Science 2003: 494-501 |
10 | EE | Seishi Okamoto,
Nobuhiro Yugami:
Effects of domain characteristics on instance-based learning algorithms.
Theor. Comput. Sci. 1(298): 207-233 (2003) |
2000 |
9 | EE | Nobuhiro Yugami:
Discovery of M-of-N Concepts for Classification.
Discovery Science 2000: 278-281 |
8 | | Seishi Okamoto,
Nobuhiro Yugami:
Generalized Average-Case Analyses of the Nearest Neighbor Algorithm.
ICML 2000: 695-702 |
7 | | Nobuhiro Yugami,
Yuiko Ohta,
Seishi Okamoto:
Fast Discovery of Interesting Rules.
PAKDD 2000: 17-28 |
1998 |
6 | EE | Nobuhiro Yugami,
Yuiko Ohta,
Seishi Okamoto:
Instance Guided Rule Induction.
Discovery Science 1998: 210-219 |
1997 |
5 | | Seishi Okamoto,
Nobuhiro Yugami:
Theoretical Analysis of Case Retrieval Method Based on Neighborhood of a New Problem.
ICCBR 1997: 349-358 |
4 | | Seishi Okamoto,
Nobuhiro Yugami:
An Average-Case Analysis of the k-Nearest Neighbar Classifier for Noisy Domains.
IJCAI (1) 1997: 238-245 |
1996 |
3 | | Seishi Okamoto,
Nobuhiro Yugami:
Theoretical Analysis of the Nearest Neighbor Classifier in Noisy Domains.
ICML 1996: 355-363 |
1995 |
2 | | Nobuhiro Yugami:
Theoretical Analysis of Davis-Putnam Procedure and Propositional Satisfiability.
IJCAI 1995: 282-288 |
1994 |
1 | | Nobuhiro Yugami,
Yuiko Ohta,
Hirotaka Hara:
Improving Repair-Based Constraint Satisfaction Methods by Value Propagation.
AAAI 1994: 344-349 |