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» Self-Explanatory Simulations: Scaling Up to Large Models
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CPHYSICS
2011
271views Education» more  CPHYSICS 2011»
14 years 1 months ago
A dedicated algorithm for calculating ground states for the triangular random bond Ising model
In the presented article we present an algorithm for the computation of ground state spin configurations for the 2d random bond Ising model on planar triangular lattice graphs. T...
O. Melchert, A. K. Hartmann
IJON
2002
72views more  IJON 2002»
14 years 9 months ago
Modeling large cortical networks with growing self-organizing maps
Self-organizing computational models with specific intracortical connections can explain many features of visual cortex. However, due to their computation and memory requirements,...
James A. Bednar, Amol Kelkar, Risto Miikkulainen
SCFBM
2008
119views more  SCFBM 2008»
14 years 9 months ago
Boolean network simulations for life scientists
Modern life sciences research increasingly relies on computational solutions, from large scale data analyses to theoretical modeling. Within the theoretical models Boolean network...
István Albert, Juilee Thakar, Song Li, Ranr...
DISCEX
2003
IEEE
15 years 2 months ago
Cooperative Response Strategies for Large Scale Attack Mitigation
We introduce models for cooperative mitigating response strategies to suppress large scale Internet worm attack. In our models, cooperating members communicate with others using a...
D. Nojiri, Jeff Rowe, Karl N. Levitt
95
Voted
CVPR
2006
IEEE
15 years 11 months ago
An Integrated Model of Top-Down and Bottom-Up Attention for Optimizing Detection Speed
Integration of goal-driven, top-down attention and image-driven, bottom-up attention is crucial for visual search. Yet, previous research has mostly focused on models that are pur...
Vidhya Navalpakkam, Laurent Itti