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Daniel Oblinger
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2010 – 2019
- 2017
- [r2]Pietro Michelucci, Daniel Oblinger:
Cumulative Learning. Encyclopedia of Machine Learning and Data Mining 2017: 306-314 - 2011
- [j6]Daniel Oblinger:
Toward a Computational Model of Transfer. AI Mag. 32(2): 126-128 (2011) - 2010
- [j5]Vittorio Castelli, Lawrence D. Bergman, Tessa Lau, Daniel Oblinger:
Sheepdog, parallel collaborative programming-by-demonstration. Knowl. Based Syst. 23(2): 94-109 (2010) - [c10]Stephanie M. Strassel, Dan Adams, Henry Goldberg, Jonathan Herr, Ron Keesing, Daniel Oblinger, Heather Simpson, Robert Schrag, Jonathan Wright:
The DARPA Machine Reading Program - Encouraging Linguistic and Reasoning Research with a Series of Reading Tasks. LREC 2010 - [r1]Pietro Michelucci
, Daniel Oblinger:
Cumulative Learning. Encyclopedia of Machine Learning 2010: 249-257
2000 – 2009
- 2008
- [c9]Daniel Oblinger:
Towards an Adaptive Intelligent Agent. AAAI Fall Symposium: Biologically Inspired Cognitive Architectures 2008: 140 - 2007
- [j4]Vittorio Castelli, Daniel Oblinger, Lawrence D. Bergman:
Augmentation-Based Learning combining observations and user edits for Programming-by-Demonstration. Knowl. Based Syst. 20(6): 575-591 (2007) - [c8]Vittorio Castelli, Lawrence D. Bergman, Daniel Oblinger:
Learning by Combining Observations and User Edits. AAAI 2007: 1610-1613 - 2006
- [c7]Daniel Oblinger, Vittorio Castelli, Lawrence D. Bergman:
Augmentation-based learning: combining observations and user edits for programming-by-demonstration. IUI 2006: 202-209 - 2005
- [j3]Diego Mollá Aliod, Eduardo Alonso, Srinivas Bangalore, Joseph E. Beck, Bir Bhanu, Jim Blythe, Mark S. Boddy, Amedeo Cesta, Marko Grobelnik, Dilek Hakkani-Tür, Sanda M. Harabagiu, Alain Léger, Deborah L. McGuinness, Stacy Marsella, Natasa Milic-Frayling, Dunja Mladenic, Daniel Oblinger, Paul E. Rybski, Pavel Shvaiko, Stephen F. Smith, Biplav Srivastava, Sheila Tejada, Hannes Högni Vilhjálmsson, Kristinn R. Thórisson, Gökhan Tür, José Luis Vicedo González, Holger Wache:
The Workshops at the Twentieth National Conference on Artificial Intelligence. AI Mag. 26(4): 102-108 (2005) - [c6]Daniel Oblinger, Vittorio Castelli, Tessa A. Lau, Lawrence D. Bergman:
Similarity-Based Alignment and Generalization. ECML 2005: 657-664 - [c5]Lawrence D. Bergman, Vittorio Castelli, Tessa A. Lau, Daniel Oblinger:
DocWizards: a system for authoring follow-me documentation wizards. UIST 2005: 191-200 - 2004
- [c4]Tessa A. Lau, Lawrence D. Bergman, Vittorio Castelli, Daniel Oblinger:
Sheepdog: learning procedures for technical support. IUI 2004: 109-116 - 2003
- [j2]Ricardo Vilalta, Daniel Oblinger:
Evaluation Metrics in Classification: A Quantification of Distance-Bias. Comput. Intell. 19(3): 264-283 (2003) - 2002
- [j1]Daniel Oblinger, Mark D. Reid, Mark Brodie, Rodrigo de Salvo Braz:
Cross training and its application to skill mining. IBM Syst. J. 41(3): 449-460 (2002) - 2001
- [c3]Ricardo Vilalta, Mark Brodie, Daniel Oblinger, Irina Rish:
A Unified Framework for Evaluation Metrics in Classification Using Decision Trees. ECML 2001: 503-514 - [c2]Nina Mishra, Daniel Oblinger, Leonard Pitt:
Sublinear time approximate clustering. SODA 2001: 439-447 - 2000
- [c1]Ricardo Vilalta, Daniel Oblinger:
A Quantification of Distance Bias Between Evaluation Metrics In Classification. ICML 2000: 1087-1094
1990 – 1999
- 1998
- [b1]Daniel Oblinger:
Plausible Inference: A Knowledge-Intensive Approach to Induction (An Application of PI to the Problem of Hidden Homology Modeling). University of Illinois Urbana-Champaign, USA, 1998
Coauthor Index
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