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» A Bayesian Computational Cognitive Model
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FLAIRS
2004
15 years 3 months ago
Computing Marginals with Hierarchical Acyclic Hypergraphs
How to compute marginals efficiently is one of major concerned problems in probabilistic reasoning systems. Traditional graphical models do not preserve all conditional independen...
S. K. Michael Wong, Tao Lin
106
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ICAIL
2009
ACM
15 years 8 months ago
Human-aided computer cognition for e-discovery
Throughout its history, AI researchers have alternatively seen their mission as producing computer behavior that is indistinguishable from that of humans or as providing computati...
Christopher Hogan, Robert Bauer, Dan Brassil
AUTOMOTIVEUI
2009
ACM
15 years 8 months ago
A cognitive schema approach to diagnose intuitiveness: an application to onboard computers
Intuitive use is met when prior knowledge is transferred to new task environments. The empirical fact that transfer relies on schemas led us to diagnose intuitiveness based on sch...
Sandrine Fischer, Makoto Itoh, Toshiyuki Inagaki
NIPS
2001
15 years 3 months ago
Bayesian time series classification
This paper proposes an approach to classification of adjacent segments of a time series as being either of classes. We use a hierarchical model that consists of a feature extract...
Peter Sykacek, Stephen J. Roberts
NIPS
2004
15 years 3 months ago
Probabilistic Computation in Spiking Populations
As animals interact with their environments, they must constantly update estimates about their states. Bayesian models combine prior probabilities, a dynamical model and sensory e...
Richard S. Zemel, Quentin J. M. Huys, Rama Nataraj...