Sciweavers

125 search results - page 10 / 25
» Causal Discovery as a Game
Sort
View
BMCBI
2007
215views more  BMCBI 2007»
13 years 7 months ago
Learning causal networks from systems biology time course data: an effective model selection procedure for the vector autoregres
Background: Causal networks based on the vector autoregressive (VAR) process are a promising statistical tool for modeling regulatory interactions in a cell. However, learning the...
Rainer Opgen-Rhein, Korbinian Strimmer
ICML
2008
IEEE
14 years 8 months ago
Automatic discovery and transfer of MAXQ hierarchies
We present an algorithm, HI-MAT (Hierarchy Induction via Models And Trajectories), that discovers MAXQ task hierarchies by applying dynamic Bayesian network models to a successful...
Neville Mehta, Soumya Ray, Prasad Tadepalli, Thoma...
HCI
2009
13 years 5 months ago
Antecedents of Attributions in an Educational Game for Social Learning: Who's to Blame?
Games are increasingly being used as educational tools, in part because they are presumed to enhance student motivation. We look at student motivation in games from the viewpoint o...
Amy Ogan, Vincent Aleven, Julia Kim, Christopher J...
CHI
2009
ACM
14 years 8 months ago
Synchronized communication and coordinated views: qualitative data discovery for team game user studies
We present a tool for qualitative data discovery that aids researchers in analyzing synchronized log data with audio collected from multiple computers. The tool was originally dev...
William A. Hamilton, Zachary O. Toups, Andruid Ker...
ATAL
2004
Springer
14 years 24 days ago
Multi-Agent Service Description/Discovery Games
Agent description and discovery (ADD) is a critical infrastructure for open multi-agent services. As multi-agent systems grow larger and more diverse, it becomes harder to locate ...
Jun Wang, Les Gasser