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» A Reconfigurable Computing Model for Biological Research
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CORR
2012
Springer
170views Education» more  CORR 2012»
13 years 7 months ago
What Cannot be Learned with Bethe Approximations
We address the problem of learning the parameters in graphical models when inference is intractable. A common strategy in this case is to replace the partition function with its B...
Uri Heinemann, Amir Globerson
ASM
2004
ASM
15 years 5 months ago
Observations on the Decidability of Transitions
Consider a multiple-agent transition system such that, for some basic types T1, . . . , Tn, the state of any agent can be represented as an element of the Cartesian product T1 ×·...
Yuri Gurevich, Rostislav Yavorskiy
CORR
2010
Springer
206views Education» more  CORR 2010»
14 years 11 months ago
Detecting Anomalous Process Behaviour using Second Generation Artificial Immune Systems
Abstract. Artificial immune systems (AISs) are problem-solving systems inspired by the biological immune system. They have been successfully applied to a number of problem domains ...
Jamie Twycross, Uwe Aickelin, Amanda M. Whitbrook
BMCBI
2007
146views more  BMCBI 2007»
14 years 12 months ago
Spatial location and its relevance for terminological inferences in bio-ontologies
Background: An adequate and expressive ontological representation of biological organisms and their parts requires formal reasoning mechanisms for their relations of physical aggr...
Stefan Schulz, Kornél G. Markó, Udo ...
CLADE
2003
IEEE
15 years 5 months ago
vGrid: A Framework For Building Autonomic Applications
With rapid technological advances in network infrastructure, programming languages, compatible component interfaces and so many more areas, today the computational Grid has evolve...
Bithika Khargharia, Salim Hariri, Manish Parashar,...