2008 |
11 | EE | Nobuhiro Inuzuka,
Hiroyuki Ishida,
Tomofumi Nakano:
Control of Hypothesis Space Using Meta-knowledge in Inductive Learning.
KES (2) 2008: 911-918 |
10 | EE | Nobuhiro Inuzuka,
Jun-ichi Motoyama,
Shinpei Urazawa,
Tomofumi Nakano:
Relational Pattern Mining Based on Equivalent Classes of Properties Extracted from Samples.
PAKDD 2008: 582-591 |
2007 |
9 | EE | Tomofumi Nakano,
Nobuhiro Inuzuka:
Solving selection problems combining relational learning and Bayesian learning.
KES Journal 11(1): 35-45 (2007) |
2006 |
8 | EE | Jun-ichi Motoyama,
Shinpei Urazawa,
Tomofumi Nakano,
Nobuhiro Inuzuka:
A Mining Algorithm Using Property Items Extracted from Sampled Examples.
ILP 2006: 335-350 |
7 | EE | Nobuhiro Inuzuka,
Jun-ichi Motoyama,
Tomofumi Nakano:
Relational Association Mining Based on Structural Analysis of Saturation Clauses.
KES (2) 2006: 1162-1169 |
2005 |
6 | EE | Kenta Fukuoka,
Tomofumi Nakano,
Nobuhiro Inuzuka:
Organising Documents Based on Standard-Example Split Test.
KES (1) 2005: 787-793 |
5 | EE | Tomofumi Nakano,
Yukie Koyama:
e-Learning Materials Development Based on Abstract Analysis Using Web Tools.
KES (1) 2005: 794-800 |
2003 |
4 | EE | Yukie Koyama,
Tomofumi Nakano,
Chikako Matsuura:
Development of an ESP E-learning Tool Using In-House Corpora.
KES 2003: 533-539 |
3 | EE | Tomofumi Nakano,
Yukie Koyama,
Nobuhiro Inuzuka,
Chikako Matsuura:
EM Algorithm for Cleaning of Answers Generated by an E-learning System.
KES 2003: 547-552 |
2000 |
2 | EE | Tomofumi Nakano,
Nobuhiro Inuzuka:
Solving Selection Problems Using Preference Relation Based on Bayesian Learning.
ILP 2000: 147-164 |
1998 |
1 | | Tomofumi Nakano,
Nobuhiro Inuzuka,
Hirohisa Seki,
Hidenori Itoh:
Inducing Shogi Heuristics Using Inductive Logic Programming.
ILP 1998: 155-164 |