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» Exploration of Simulation Experiments by Discovery
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163
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PAKDD
2001
ACM
104views Data Mining» more  PAKDD 2001»
15 years 10 months ago
Optimizing the Induction of Alternating Decision Trees
The alternating decision tree brings comprehensibility to the performance enhancing capabilities of boosting. A single interpretable tree is induced wherein knowledge is distribute...
Bernhard Pfahringer, Geoffrey Holmes, Richard Kirk...
AIPRF
2007
15 years 7 months ago
Instinct and Learning Synergy in Simulated Foraging Using a Neural Network
Instinct and experience are shown to form a potent combination to achieve effective foraging in a simulated environment. A neural network capable of evolving instinct-related neur...
Thomas E. Portegys
GAMEON
2009
15 years 3 months ago
Explorations in Player Motivations: Game Mechanics
This article, assuming that player motivations are the outcome of continuous player-environment interactions, applies the needs framework of Murray (1938) to a computer game and i...
Barbaros Bostan, Ugur Kaplancali
184
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TSMC
2008
117views more  TSMC 2008»
15 years 4 months ago
Discovery of High-Level Behavior From Observation of Human Performance in a Strategic Game
This paper explores the issues faced in creating a sys-4 tem that can learn tactical human behavior merely by observing5 a human perform the behavior in a simulation. More specific...
Brian S. Stensrud, Avelino J. Gonzalez
ICML
2004
IEEE
16 years 6 months ago
Parameter space exploration with Gaussian process trees
Computer experiments often require dense sweeps over input parameters to obtain a qualitative understanding of their response. Such sweeps can be prohibitively expensive, and are ...
Robert B. Gramacy, Herbert K. H. Lee, William G. M...