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ORCIDMatthew D. Schmill
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2010 – 2019
- 2016
[i2]Ashwinkumar Ganesan, Tim Oates, Matt Schmill:
Finding Representative Points in Multivariate Data Using PCA. CoRR abs/1610.05819 (2016)- 2013
- [i1]Nicholas R. Magliocca, Erle C. Ellis, Tim Oates, Matthew D. Schmill:
Contextualizing the global relevance of local land change observations. CoRR abs/1307.6889 (2013) - 2011
- [c18]Matthew D. Schmill, Tim Oates:
Managing Uncertainty in Text-to-Sketch Tracking Problems. ICTAI 2011: 430-437 - [p1]Matthew D. Schmill, Michael L. Anderson, Scott Fults, Darsana P. Josyula, Tim Oates, Don Perlis, Hamid Haidarian Shahri, Shomir Wilson, Dean Wright:
The Metacognitive Loop and Reasoning about Anomalies. Metareasoning 2011: 183-198 - 2010
- [c17]Darsana P. Josyula, Bette J. Donahue, Matthew McCaslin, Michelle Snowden, Michael L. Anderson, Tim Oates, Matthew D. Schmill, Donald Perlis:
Metacognition for Detecting and Resolving Conflicts in Operational Policies. Metacognition for Robust Social Systems 2010 - [c16]Hamid Haidarian Shahri, Wikum Dinalankara, Scott Fults, Shomir Wilson, Donald Perlis, Matt Schmill, Tim Oates, Darsana P. Josyula, Michael L. Anderson:
The Metacognitive Loop: An Architecture for Building Robust Intelligent Systems. AAAI Fall Symposium: Commonsense Knowledge 2010
2000 – 2009
- 2007
- [c15]Michael L. Anderson, Matthew D. Schmill, Tim Oates, Donald Perlis, Darsana P. Josyula, Dean Wright, Shomir Wilson:
Toward Domain-Neutral Human-Level Metacognition. AAAI Spring Symposium: Logical Formalizations of Commonsense Reasoning 2007: 1-6 - 2002
- [c14]Matthew D. Schmill, Paul R. Cohen:
A motivational system that drives the development of activity. AAMAS 2002: 358-359 - 2000
- [c13]Tim Oates, Matthew D. Schmill, Paul R. Cohen:
A Method for Clustering the Experiences of a Mobile Robot that Accords with Human Judgments. AAAI/IAAI 2000: 846-851 - [c12]Tim Oates, Matthew D. Schmill, Paul R. Cohen:
Identifying qualitatively different outcomes of actions: gaining autonomy through learning. Agents 2000: 110-111 - [c11]Matthew D. Schmill, Tim Oates, Paul R. Cohen:
Learning Planning Operators in Real-World, Partially Observable Environments. AIPS 2000: 246-253 - [c10]Victor Lavrenko, Matthew D. Schmill, Dawn J. Lawrie, Paul Ogilvie, David D. Jensen, James Allan:
Language Models for Financial News Recommendation. CIKM 2000: 389-396
1990 – 1999
- 1999
- [c9]Tim Oates, Matthew D. Schmill, Paul R. Cohen, Casey Durfee:
Efficient mining of statistical dependencies. AISTATS 1999 - [c8]Matthew D. Schmill, Tim Oates, Paul R. Cohen:
Learned models for continuous planning. AISTATS 1999 - [c7]Tim Oates, Matthew D. Schmill, Paul R. Cohen:
Efficient Mining of Statistical Dependencies. IJCAI 1999: 794-799 - [d1]Matthew D. Schmill, Paul R. Cohen:
Pioneer-1 Mobile Robot Data. UCI Machine Learning Repository, 1999
- 1998
- [c6]Matthew D. Schmill, Michael T. Rosenstein, Paul R. Cohen, Paul E. Utgoff:
Learning What Is Relevant to the Effects of Actions for a Mobile Robot. Agents 1998: 247-253 - 1997
- [c5]Tim Oates, Matthew D. Schmill, David D. Jensen, Paul R. Cohen:
A Family of Algorithms for Finding Temporal Structure in Data. AISTATS 1997: 371-378 - [c4]Tim Oates, Matthew D. Schmill, Paul R. Cohen:
Parallel and Distributed Search for Structure in Multivariate Time Series. ECML 1997: 191-198 - [c3]David D. Jensen, Matthew D. Schmill:
Adjusting for Multiple Comparisons in Decision Tree Pruning. KDD 1997: 195-198 - 1995
- [c2]Tim Oates, Matthew D. Schmill, Dawn E. Gregory, Paul R. Cohen:
Detecting Complex Dependencies in Categorical Data. AISTATS 1995: 185-195 - [c1]Matthew D. Schmill, Tim Oates, Paul R. Cohen:
Tools for detecting dependencies in AI systems. ICTAI 1995: 148-155
Coauthor Index
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