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UAI
2004
13 years 9 months ago
Bayesian Learning in Undirected Graphical Models: Approximate MCMC Algorithms
Bayesian learning in undirected graphical models--computing posterior distributions over parameters and predictive quantities-is exceptionally difficult. We conjecture that for ge...
Iain Murray, Zoubin Ghahramani
INTERACT
2003
13 years 9 months ago
Effective Vibrotactile Cueing in a Visual Search Task
: This paper presents results from work we have done into the combination of visual and vibrotactile cues for improving user interaction in virtual environments. Using a custom-des...
Robert W. Lindeman, Yasuyuki Yanagida, John L. Sib...
NIPS
2000
13 years 9 months ago
Dendritic Compartmentalization Could Underlie Competition and Attentional Biasing of Simultaneous Visual Stimuli
Neurons in area V4 have relatively large receptive fields (RFs), so multiple visual features are simultaneously "seen" by these cells. Recordings from single V4 neurons ...
Kevin A. Archie, Bartlett W. Mel
CEC
2010
IEEE
13 years 8 months ago
On the role of modularity in evolutionary dynamic optimisation
The field of evolutionary dynamic optimisation is concerned with the application of evolutionary algorithms to dynamic optimisation problems. In recent years, numerous new algorith...
Philipp Rohlfshagen, Xin Yao
DAWAK
2010
Springer
13 years 8 months ago
Using Transitivity to Increase the Accuracy of Sample-Based Pearson Correlation Coefficients
Abstract. Pearson product-moment correlation coefficients are a wellpracticed quantification of linear dependence seen across many fields. When calculating a sample-based correlati...
Taylor Phillips, Chris GauthierDickey, Ramki Thuri...