Daniel Oblinger

According to our database, Daniel Oblinger authored at least 18 papers between 1998 and 2017.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2017

Cumulative Learning.

Pietro Michelucci, Daniel Oblinger

Proceedings of the Encyclopedia of Machine Learning and Data Mining, 2017

2011

Toward a Computational Model of Transfer.

Daniel Oblinger

AI Mag., 2011

2010

Cumulative Learning.

Pietro Michelucci, Daniel Oblinger

Proceedings of the Encyclopedia of Machine Learning, 2010

Sheepdog, parallel collaborative programming-by-demonstration.

Vittorio Castelli, Lawrence D. Bergman, Tessa Lau, Daniel Oblinger

Knowl. Based Syst., 2010

The DARPA Machine Reading Program - Encouraging Linguistic and Reasoning Research with a Series of Reading Tasks.

Stephanie M. Strassel, Dan Adams, Henry Goldberg, Jonathan Herr, Ron Keesing, Daniel Oblinger, Heather Simpson, Robert Schrag, Jonathan Wright

Proceedings of the International Conference on Language Resources and Evaluation, 2010

2008

Towards an Adaptive Intelligent Agent.

Daniel Oblinger

Proceedings of the Biologically Inspired Cognitive Architectures, 2008

2007

Augmentation-Based Learning combining observations and user edits for Programming-by-Demonstration.

Vittorio Castelli, Daniel Oblinger, Lawrence D. Bergman

Knowl. Based Syst., 2007

Learning by Combining Observations and User Edits.

Vittorio Castelli, Lawrence D. Bergman, Daniel Oblinger

Proceedings of the Twenty-Second AAAI Conference on Artificial Intelligence, 2007

2005

The Workshops at the Twentieth National Conference on Artificial Intelligence.

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

AI Mag., 2005

DocWizards: a system for authoring follow-me documentation wizards.

Lawrence D. Bergman, Vittorio Castelli, Tessa A. Lau, Daniel Oblinger

Proceedings of the 18th Annual ACM Symposium on User Interface Software and Technology, 2005

Similarity-Based Alignment and Generalization.

Daniel Oblinger, Vittorio Castelli, Tessa A. Lau, Lawrence D. Bergman

Proceedings of the Machine Learning: ECML 2005, 2005

2004

Sheepdog: learning procedures for technical support.

Tessa A. Lau, Lawrence D. Bergman, Vittorio Castelli, Daniel Oblinger

Proceedings of the 9th International Conference on Intelligent User Interfaces, 2004

2003

Evaluation Metrics in Classification: A Quantification of Distance-Bias.

Ricardo Vilalta, Daniel Oblinger

Comput. Intell., 2003

2002

Cross training and its application to skill mining.

Daniel Oblinger, Mark D. Reid, Mark Brodie, Rodrigo de Salvo Braz

IBM Syst. J., 2002

2001

Sublinear time approximate clustering.

Nina Mishra, Daniel Oblinger, Leonard Pitt

Proceedings of the Twelfth Annual Symposium on Discrete Algorithms, 2001

A Unified Framework for Evaluation Metrics in Classification Using Decision Trees.

Ricardo Vilalta, Mark Brodie, Daniel Oblinger, Irina Rish

Proceedings of the Machine Learning: EMCL 2001, 2001

2000

A Quantification of Distance Bias Between Evaluation Metrics In Classification.

Ricardo Vilalta, Daniel Oblinger

Proceedings of the Seventeenth International Conference on Machine Learning (ICML 2000), Stanford University, Stanford, CA, USA, June 29, 2000

1998

Plausible Inference: A Knowledge-Intensive Approach to Induction (An Application of PI to the Problem of Hidden Homology Modeling)

Daniel Oblinger

PhD thesis, 1998