Daniel Oblinger - researchr alias

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Viewing Publication 1 - 17 from 17

2011

Toward a Computational Model of TransferDaniel Oblinger. aim, 32(2):126-128, 2011. [doi]

2010

Sheepdog, parallel collaborative programming-by-demonstrationVittorio Castelli, Lawrence D. Bergman, Tessa Lau, Daniel Oblinger. kbs, 23(2):94-109, 2010. [doi]

The DARPA Machine Reading Program - Encouraging Linguistic and Reasoning Research with a Series of Reading TasksStephanie Strassel, Dan Adams, Henry Goldberg, Jonathan Herr, Ron Keesing, Daniel Oblinger, Heather Simpson, Robert Schrag, Jonathan Wright. lrec 2010: [doi]

2008

Towards an Adaptive Intelligent AgentDaniel Oblinger. aaaifs 2008: 140 [doi]

2007

Learning by Combining Observations and User EditsVittorio Castelli, Lawrence D. Bergman, Daniel Oblinger. AAAI 2007: 1610-1613

Augmentation-Based Learning combining observations and user edits for Programming-by-DemonstrationVittorio Castelli, Daniel Oblinger, Lawrence D. Bergman. kbs, 20(6):575-591, 2007. [doi]

2006

Augmentation-based learning: combining observations and user edits for programming-by-demonstrationDaniel Oblinger, Vittorio Castelli, Lawrence D. Bergman. IUI 2006: 202-209 [doi]

2005

DocWizards: a system for authoring follow-me documentation wizardsLawrence D. Bergman, Vittorio Castelli, Tessa A. Lau, Daniel Oblinger. uist 2005: 191-200 [doi]

Similarity-Based Alignment and GeneralizationDaniel Oblinger, Vittorio Castelli, Tessa A. Lau, Lawrence D. Bergman. ecml 2005: 657-664 [doi]

2004

Sheepdog: learning procedures for technical supportTessa A. Lau, Lawrence D. Bergman, Vittorio Castelli, Daniel Oblinger. IUI 2004: 109-116 [doi]

2003

Evaluation Metrics in Classification: A Quantification of Distance-BiasRicardo Vilalta, Daniel Oblinger. ci, 19(3):264-283, 2003. [doi]

2002

Cross training and its application to skill miningDaniel Oblinger, Mark D. Reid, Mark Brodie, Rodrigo de Salvo Braz. IBMSJ, 41(3):449-460, 2002. [doi]

2001

Sublinear time approximate clusteringNina Mishra, Daniel Oblinger, Leonard Pitt. soda 2001: 439-447 [doi]

A Unified Framework for Evaluation Metrics in Classification Using Decision TreesRicardo Vilalta, Mark Brodie, Daniel Oblinger, Irina Rish. ecml 2001: 503-514 [doi]

2000

A Quantification of Distance Bias Between Evaluation Metrics In ClassificationRicardo Vilalta, Daniel Oblinger. icml 2000: 1087-1094

1998

Plausible Inference: A Knowledge-Intensive Approach to Induction (An Application of PI to the Problem of Hidden Homology Modeling)Daniel Oblinger. PhD thesis, University of Illinois Urbana-Champaign, USA, 1998. [doi]

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