Inductive Learning in Probabilistic Domain. - Yoichiro Nakakuki; Yoshiyuki Koseki; Midori Tanaka (AAAI, 1990)

DT: a classification problem solver with tabular-knowledge acquisition. - Yoshiyuki Koseki; Yoichiro Nakakuki; Midori Tanaka (ICTAI, 1991)

Adaptive Model-Based Diagnostic Mechanism Using a Hierarchical Model Scheme. - Yoichiro Nakakuki; Yoshiyuki Koseki; Midori Tanaka (AAAI, 1992)

A Parallel Inductive Learning Algorithm for Adaptive Diagnosis. - Yoichiro Nakakuki; Yoshiyuki Koseki; Midori Tanaka (FGCS, 1992)

Increasing The Efficiency of Simulated Annealing Search by Learning to Recognize (Un)Promising Runs. - Yoichiro Nakakuki; Norman M. Sadeh (AAAI, 1994)

Focused simulated annealing search: An application to job shop scheduling. - Norman M. Sadeh; Yoichiro Nakakuki (Ann. Oper. Res., 1996)

Learning to recognize (un)promising simulated annealing runs: Efficient search procedures for job shop scheduling and vehicle routing. - Norman M. Sadeh; Yoichiro Nakakuki; Sam R. Thangiah (Ann. Oper. Res., 1997)

Improving a Heuristic Repair Method for Large-Scale School Timetabling Problems. - Kazuya Kaneko; Masazumi Yoshikawa; Yoichiro Nakakuki (CP, 1999)