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» Exploration of Simulation Experiments by Discovery
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PAKDD
2001
ACM
104views Data Mining» more  PAKDD 2001»
14 years 9 days 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
13 years 9 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
13 years 5 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
TSMC
2008
117views more  TSMC 2008»
13 years 6 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
14 years 8 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...