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» A self-describing data transfer model for ITS applications
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ICML
1996
IEEE
16 years 7 months ago
Discretizing Continuous Attributes While Learning Bayesian Networks
We introduce a method for learning Bayesian networks that handles the discretization of continuous variables as an integral part of the learning process. The main ingredient in th...
Moisés Goldszmidt, Nir Friedman
RECOMB
2010
Springer
15 years 4 months ago
Predicting Nucleosome Positioning Using Multiple Evidence Tracks
Abstract. We describe a probabilistic model, implemented as a dynamic Bayesian network, that can be used to predict nucleosome positioning along a chromosome based on one or more g...
Sheila M. Reynolds, Zhiping Weng, Jeff A. Bilmes, ...
ICCS
2005
Springer
15 years 12 months ago
A Computational Model of Micro-vascular Growth
In order to supply a growing tissue with oxygen and nutrients and to remove its metabolic wastes, blood vessels penetrating the tissue are formed. Multiple mechanisms are involved ...
Dominik Szczerba, Gábor Székely
SIGDOC
1998
ACM
15 years 10 months ago
Managing the Software Design Documents with XML
It is hard to manage the software design documents within a distributed development team. The issues include the format, distribution and evolution of data. This paper mainly focu...
Junichi Suzuki, Yoshikazu Yamamoto
FGR
2000
IEEE
141views Biometrics» more  FGR 2000»
15 years 10 months ago
Multiple Cues used in Model-Based Human Motion Capture
Human motion capture has lately been the object of much attention due to commercial interests. A ”touch free” computer vision solution to the problem is desirable to avoid the...
Thomas B. Moeslund, Erik Granum