Nigel Duffy - researchr alias

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Viewing Publication 1 - 12 from 12

2020

A Report on the First Workshop on Document Intelligence (DI) at NeurIPS 2019Hamid Motahari 0001, Nigel Duffy, Paul Bennett, Tania Bedrax-Weiss. sigkdd, 22(2):8-11, 2020. [doi]

DICR: AI Assisted, Adaptive Platform for Contract ReviewDan G. Tecuci, Ravi Palla, Hamid R. Motahari Nezhad, Nishchal Ahuja, Alex Monteiro, Tigran Ishkhanov, Nigel Duffy. AAAI 2020: 13638-13639 [doi]

2017

How to select a winner in evolutionary optimization?Risto Miikkulainen, Hormoz Shahrzad, Nigel Duffy, Phil Long. ssci 2017: 1-6 [doi]

2002

New Ranking Algorithms for Parsing and Tagging: Kernels over Discrete Structures, and the Voted PerceptronMichael Collins, Nigel Duffy. acl 2002: 263-270 [doi]

Boosting Methods for RegressionNigel Duffy, David P. Helmbold. ml, 47(2-3):153-200, 2002.

A geometric approach to leveraging weak learnersNigel Duffy, David P. Helmbold. TCS, 284(1):67-108, 2002. [doi]

2001

Convolution Kernels for Natural LanguageMichael Collins, Nigel Duffy. nips 2001: 625-632 [doi]

2000

Leveraging for RegressionNigel Duffy, David P. Helmbold. colt 2000: 208-219

Support vector machine classification and validation of cancer tissue samples using microarray expression dataTerrence S. Furey, Nello Cristianini, Nigel Duffy, David W. Bednarski, Michèl Schummer, David Haussler. bioinformatics, 16(10):906-914, 2000.

1999

A Geometric Approach to Leveraging Weak LearnersNigel Duffy, David P. Helmbold. eurocolt 1999: 18-33 [doi]

Potential Boosters?Nigel Duffy, David P. Helmbold. nips 2000: 258-264 [doi]

Using multiplicative algorithms to build cascade correlation networksNigel Duffy. ijcnn 1999: 1861-1865 [doi]

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