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93
Voted
ICML
2010
IEEE
15 years 2 days ago
2010
IEEE
Learning temporal causal graph structures from multivariate time-series data reveals important dependency relationships between current observations and histories, and provides a ...
ICDM
2009
IEEE
15 years 5 months ago
2009
IEEE
—The real world is composed of sets of objects that move and morph in both space and time. Useful concepts can be defined in terms of the complex interactions between the multi-...
110
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ICML
2007
IEEE
15 years 11 months ago
2007
IEEE
In this work we take a novel view of nonlinear manifold learning. Usually, manifold learning is formulated in terms of finding an embedding or `unrolling' of a manifold into ...
SIGGRAPH
1994
ACM
15 years 3 months ago
1994
ACM
In this paper we identify sources of error in global illumination algorithms and derive bounds for each distinct category. Errors arise from three sources: inaccuracies in the bou...
111
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NEUROSCIENCE
2001
Springer
15 years 3 months ago
2001
Springer
We propose a theoretical framework for specification and analysis of a class of learning problems that arise in open-ended environments that contain multiple, distributed, dynamic...