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COGSCI
2010
107views more  COGSCI 2010»
15 years 7 months ago
Inferring Hidden Causal Structure
We used a new method to assess how people can infer unobserved causal structure from patterns of observed events. Participants were taught to draw causal graphs, and then shown a ...
Tamar Kushnir, Alison Gopnik, Chris Lucas, Laura S...
AMC
2006
79views more  AMC 2006»
15 years 7 months ago
VC-dimension and structural risk minimization for the analysis of nonlinear ecological models
The problem of distinguishing density-independent (DI) from density-dependent (DD) demographic time series is important for understanding the mechanisms that regulate populations ...
Giorgio Corani, Marino Gatto
ALIFE
2004
15 years 6 months ago
The Data-and-Signals Cellular Automaton and Its Application to Growing Structures
In a traditional cellular automaton (CA) a cell is implemented by a rule table defining its state at the next time step, given its present state and those of its neighbors. The cel...
André Stauffer, Moshe Sipper
APIN
2000
116views more  APIN 2000»
15 years 6 months ago
Application of Cascade Correlation Networks for Structures to Chemistry
Abstract. We present the application of Cascade Correlation for structures to QSPR (quantitative structureproperty relationships) and QSAR (quantitative structure-activity relation...
Anna Maria Bianucci, Alessio Micheli, Alessandro S...
ICCV
2001
IEEE
16 years 8 months ago
Real-Time Tracking of Highly Articulated Structures in the Presence of Noisy Measurements
This paper presents a novel approach for model-based realtime tracking of highly articulated structures such as humans. This approach is based on an algorithm which efficiently pr...
Tom Drummond, Roberto Cipolla