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» Practically Applicable Formal Methods
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139
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ICML
1996
IEEE
16 years 3 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
98
Voted
CIKM
2009
Springer
15 years 9 months ago
Agglomerating local patterns hierarchically with ALPHA
To increase the relevancy of local patterns discovered from noisy relations, it makes sense to formalize error-tolerance. Our starting point is to address the limitations of state...
Loïc Cerf, Pierre-Nicolas Mougel, Jean-Fran&c...
97
Voted
ISCAS
2008
IEEE
119views Hardware» more  ISCAS 2008»
15 years 9 months ago
Adjusting the neurons models in neuromimetic ICs using the voltage-clamp technique
— This paper presents an original method to tune a neuromimetic IC based on neuron conductance-based models (Hodgkin-Huxley formalism). This method is well known in electrophysio...
Sylvain Saïghi, Laure Buhry, Yannick Bornat, ...
96
Voted
HASE
2007
IEEE
15 years 9 months ago
Pattern-Based Modeling and Analysis of Failsafe Fault-Tolerance in UML
In order to facilitate incremental modeling and analysis of fault-tolerant embedded systems, we introduce an object analysis pattern, called the detector pattern, that provides a ...
Ali Ebnenasir, Betty H. C. Cheng
110
Voted
ATAL
2007
Springer
15 years 8 months ago
Collaboration among a satellite swarm
The paper deals with on-board planning for a satellite swarm via communication and negotiation. We aim at defining individual behaviours that result in a global behaviour that me...
Grégory Bonnet, Catherine Tessier