An Investigation of Noise-Tolerant Relational Concept Learning Algorithms. - Clifford Brunk; Michael J. Pazzani (ML, 1991)

A Knowledge-intensive Approach to Learning Relational Concepts. - Michael J. Pazzani; Clifford Brunk; Glenn Silverstein (ML, 1991)

Detecting and correcting errors in rule-based expert systems: an integration of empirical and explanation-based learning. - Michael J. Pazzani; Clifford Brunk (Knowl. Acquis., 1991)

Finding Accurate Frontiers: A Knowledge-Intensive Approach to Relational Learning. - Michael J. Pazzani; Clifford Brunk (AAAI, 1993)

Reducing Misclassification Costs. - Michael J. Pazzani; Christopher J. Merz; Patrick M. Murphy; Kamal M. Ali; Timothy Hume; Clifford Brunk (ICML, 1994)

On Learning Multiple Descriptions of a Concept. - Kamal M. Ali; Clifford Brunk; Michael J. Pazzani (ICTAI, 1994)

Avoiding Non-Termination when Learning Logical Programs: A Case Study with FOIL and FOCL. - Giovanni Semeraro; Floriana Esposito; Donato Malerba; Clifford Brunk; Michael J. Pazzani (LOPSTR, 1994)

A Lexical Based Semantic Bias for Theory Revision. - Clifford Brunk; Michael J. Pazzani (ICML, 1995)

MineSet: An Integrated System for Data Mining. - Clifford Brunk; James Kelly; Ron Kohavi (KDD, 1997)

Pruning Decision Trees with Misclassification Costs. - Jeffrey P. Bradford; Clayton Kunz; Ron Kohavi; Clifford Brunk; Carla E. Brodley (ECML, 1998)

Adaptive interfaces for ubiquitous web access. - Daniel Billsus; Clifford Brunk; Craig Evans; Brian Gladish; Michael J. Pazzani (Commun. ACM, 2002)

Towards Click-Based Models of Geographic Interests in Web Search. - Ziming Zhuang; Cliff Brunk; Prasenjit Mitra; C. Lee Giles (Web Intelligence, 2008)

Modeling and visualizing geo-sensitive queries based on user clicks. - Ziming Zhuang; Cliff Brunk; C. Lee Giles (LocWeb, 2008)

Analysis and automatic classification of web search queries for diversification requirements. - Sumit Bhatia; Cliff Brunk; Prasenjit Mitra (ASIST, 2012)

Multilingual Language Processing From Bytes. - Dan Gillick; Cliff Brunk; Oriol Vinyals; Amarnag Subramanya (HLT-NAACL, 2016)

Reverse Engineering Configurations of Neural Text Generation Models. - Yi Tay; Dara Bahri; Che Zheng; Clifford Brunk; Donald Metzler; Andrew Tomkins (ACL, 2020)

Generative Models are Unsupervised Predictors of Page Quality: A Colossal-Scale Study. - Dara Bahri; Yi Tay; Che Zheng; Cliff Brunk; Donald Metzler; Andrew Tomkins (WSDM, 2021)

Using Machine Translation to Localize Task Oriented NLG Output. - Scott Roy; Cliff Brunk; Kyu-Young Kim; Justin Zhao; Markus Freitag; Mihir Kale; Gagan Bansal; Sidharth Mudgal; Chris Varano (CoRR, 2021)