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NIPS
1998
15 years 5 months ago
Approximate Learning of Dynamic Models
Inference is a key component in learning probabilistic models from partially observable data. When learning temporal models, each of the many inference phases requires a complete ...
Xavier Boyen, Daphne Koller
RIAO
2000
15 years 5 months ago
Statistical motion-based video indexing and retrieval
We propose an original approach for the characterization of video dynamic content with a view to supplying new functionalities for motion-based video indexing and retrieval with q...
Ronan Fablet, Patrick Bouthemy, P. Perez
AAAI
1996
15 years 5 months ago
First-Order Conditional Logic Revisited
Conditional logics play an important role in recent attempts to investigate default reasoning. This paper investigates firstorder conditional logic. We show that, as for first-ord...
Nir Friedman, Joseph Y. Halpern, Daphne Koller
FORTE
1996
15 years 5 months ago
Combined Application of SDL-92, OMT, MSC and TTCN
The paper describes the application of SDL-92[1] and OMT[2] to the design of a V5.x Access Network interface. While OMT is used to model the management aspects of the system, typi...
Eurico Inocêncio, Manuel Ricardo, Hitoshi Sa...
UAI
1996
15 years 5 months ago
Critical Remarks on Single Link Search in Learning Belief Networks
In learning belief networks, the single link lookahead search is widely adopted to reduce the search space. We show that there exists a class of probabilistic domain models which ...
Yang Xiang, S. K. Michael Wong, Nick Cercone