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UAI
2003
13 years 9 months ago
Learning Continuous Time Bayesian Networks
Continuous time Bayesian networks (CTBN) describe structured stochastic processes with finitely many states that evolve over continuous time. A CTBN is a directed (possibly cycli...
Uri Nodelman, Christian R. Shelton, Daphne Koller
VMV
2000
146views Visualization» more  VMV 2000»
13 years 9 months ago
Matching 3D Freeform Shapes to Digitized Objects
In this paper the problem of matching freeform surface features against measured point data is studied. The motivation for this investigation is the recent demand for fast and rob...
Joris S. M. Vergeest, Sander Spanjaard, Jos J. O. ...
ATAL
2010
Springer
13 years 8 months ago
Making norms concrete
In systems based on organisational specifications a reoccurring problem remains to be solved in the disparity between the level of abstractness of the organisational concepts and ...
Huib Aldewereld, Sergio Álvarez-Napagao, Fr...
ESEM
2010
ACM
13 years 7 months ago
Synthesizing evidence in software engineering research
Synthesizing the evidence from a set of studies that spans many countries and years, and that incorporates a wide variety of research methods and theoretical perspectives, is prob...
Daniela Cruzes, Tore Dybå
CDC
2008
IEEE
145views Control Systems» more  CDC 2008»
13 years 7 months ago
Necessary and sufficient conditions for success of the nuclear norm heuristic for rank minimization
Minimizing the rank of a matrix subject to constraints is a challenging problem that arises in many applications in control theory, machine learning, and discrete geometry. This c...
Benjamin Recht, Weiyu Xu, Babak Hassibi