Clifford Brunk

13 papers A* 5B 1C 1Journal 3Unranked 3
YearRankTypeTitle / Venue / Authors
2020 A* conf
Reverse Engineering Configurations of Neural Text Generation Models.
ACL
Yi Tay, Dara Bahri, Che Zheng, Clifford Brunk, Donald Metzler, Andrew Tomkins
2020 J jnl
Reverse Engineering Configurations of Neural Text Generation Models.
CoRR
Yi Tay, Dara Bahri, Che Zheng, Clifford Brunk, Donald Metzler, Andrew Tomkins
2002 J jnl
Adaptive interfaces for ubiquitous web access.
Commun. ACM
Daniel Billsus, Clifford Brunk, Craig Evans, Brian Gladish, Michael J. Pazzani
1998 — conf
Pruning Decision Trees with Misclassification Costs.
ECML
Jeffrey P. Bradford, Clayton Kunz, Ron Kohavi, Clifford Brunk, Carla E. Brodley
1997 A* conf
MineSet: An Integrated System for Data Mining.
KDD
Clifford Brunk, James Kelly, Ron Kohavi
1995 A* conf
A Lexical Based Semantic Bias for Theory Revision.
ICML
Clifford Brunk, Michael J. Pazzani
1994 C conf
Avoiding Non-Termination when Learning Logical Programs: A Case Study with FOIL and FOCL.
LOPSTR
Giovanni Semeraro, Floriana Esposito, Donato Malerba, Clifford Brunk, Michael J. Pazzani
1994 B conf
On Learning Multiple Descriptions of a Concept.
ICTAI
Kamal M. Ali, Clifford Brunk, Michael J. Pazzani
1994 A* conf
Reducing Misclassification Costs.
ICML
Michael J. Pazzani, Christopher J. Merz, Patrick M. Murphy, Kamal M. Ali, Timothy Hume, Clifford Brunk
1993 A* conf
Finding Accurate Frontiers: A Knowledge-Intensive Approach to Relational Learning.
AAAI
Michael J. Pazzani, Clifford Brunk
1991 — conf
A Knowledge-intensive Approach to Learning Relational Concepts.
ML
Michael J. Pazzani, Clifford Brunk, Glenn Silverstein
1991 — conf
An Investigation of Noise-Tolerant Relational Concept Learning Algorithms.
ML
Clifford Brunk, Michael J. Pazzani
1991 J jnl
Detecting and correcting errors in rule-based expert systems: an integration of empirical and explanation-based learning.
Knowl. Acquis.
Michael J. Pazzani, Clifford Brunk