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Greg Calbert
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- affiliation: Department of Defence, Defence Science and Technology (DST) Group, Edinburgh, SA, Australia
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2010 – 2019
- 2014
- [j1]Rajesh Thiagarajan, Mustafizur Rahman, Don Gossink, Greg Calbert:
A Data Mining Approach To Improve Military Demand Forecasting1. J. Artif. Intell. Soft Comput. Res. 4(3): 205-214 (2014) - [c8]Rajesh Thiagarajan, Mustafizur Rahman, Greg Calbert, Don Gossink:
Improving Military Demand Forecasting Using Sequence Rules. ACIIDS (2) 2014: 475-484 - 2013
- [c7]Rajesh Thiagarajan, Mirza Arif Mekhtiev, Greg Calbert, Nikifor Jeremic, Don Gossink:
Using military operational planning system data to drive reserve stocking decisions. ICDE Workshops 2013: 153-162 - 2011
- [c6]Jason B. Scholz, Gregory Calbert, Glen A. Smith:
Unravelling Bueno De Mesquita's Group Decision Model. ICAART (1) 2011: 18-30
2000 – 2009
- 2005
- [c5]Robert Fitch
, Bernhard Hengst, Dorian Suc, Greg Calbert, Jason B. Scholz
:
Structural Abstraction Experiments in Reinforcement Learning. Australian Conference on Artificial Intelligence 2005: 164-175 - [c4]Peter Smet, Don Gossink, Greg Calbert:
The Value of Stealth in the Game of Chess. Australian Conference on Artificial Intelligence 2005: 207-214 - 2004
- [c3]Gregory Calbert, Hing-Wah Kwok:
Combining Entropy Based Heuristics and Min-Max Search with Temporal Differences to Play Hidden State Games. FLAIRS 2004: 751-756 - 2003
- [c2]Peter Smet, Greg Calbert, Jason B. Scholz
, Don Gossink, Hing-Wah Kwok, Michael Webb:
The Effects of Material, Tempo and Search Depth on Win-Loss Ratios in Chess. Australian Conference on Artificial Intelligence 2003: 501-510 - [c1]Gregory Calbert, Peter Smet, Jason B. Scholz
, Hing-Wah Kwok:
Dynamic Games to Assess Network Value and Performance. Australian Conference on Artificial Intelligence 2003: 1038-1050
Coauthor Index
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