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UAI
2008
15 years 3 months ago
Projected Subgradient Methods for Learning Sparse Gaussians
Gaussian Markov random fields (GMRFs) are useful in a broad range of applications. In this paper we tackle the problem of learning a sparse GMRF in a high-dimensional space. Our a...
John Duchi, Stephen Gould, Daphne Koller
120
Voted
ICMAS
1998
15 years 3 months ago
Principles of Trust for MAS: Cognitive Anatomy, Social Importance, and Quantification
After arguing about the crucial importance of trust for Agents and MAS, we provide a definition of trust both as a mental state and as a social attitude and relation. We present t...
Cristiano Castelfranchi, Rino Falcone
CORR
2008
Springer
107views Education» more  CORR 2008»
15 years 2 months ago
Metric Structures and Probabilistic Computation
Abstract. Continuous first-order logic is used to apply model-theoretic analysis to analytic structures (e.g. Hilbert spaces, Banach spaces, probability spaces, etc.). Classical co...
Wesley Calvert
127
Voted
ISBI
2004
IEEE
16 years 3 months ago
Probabilistic ICA for fMRI
Independent Component Analysis is becoming a popular exploratory method for analysing complex data such as that from FMRI experiments. The application of such `model-free' me...
Christian Beckmann
IDEAS
2002
IEEE
151views Database» more  IDEAS 2002»
15 years 7 months ago
Completing CAD Data Queries for Visualization
A system has been developed permitting database queries over data extracted from a CAD system where the query result is returned back to the CAD for visualization and analysis. Th...
Milena Gateva Koparanova, Tore Risch