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IJCNN
2006
IEEE
14 years 3 months ago
Venn-like models of neo-cortex patches
— This work presents a new architecture of artificial neural networks – Venn Networks, which produce localized activations in a 2D map while executing simple cognitive tasks. T...
Fernando Buarque de Lima Neto, Philippe De Wilde
ECAL
2001
Springer
14 years 1 months ago
Evolution of Reinforcement Learning in Uncertain Environments: Emergence of Risk-Aversion and Matching
Reinforcement learning (RL) is a fundamental process by which organisms learn to achieve a goal from interactions with the environment. Using Artificial Life techniques we derive ...
Yael Niv, Daphna Joel, Isaac Meilijson, Eytan Rupp...
CCS
2009
ACM
14 years 3 months ago
Dynamic provable data possession
As storage-outsourcing services and resource-sharing networks have become popular, the problem of efficiently proving the integrity of data stored at untrusted servers has receiv...
C. Christopher Erway, Alptekin Küpç&uu...
GECCO
2006
Springer
220views Optimization» more  GECCO 2006»
14 years 20 days ago
Comparing evolutionary algorithms on the problem of network inference
In this paper, we address the problem of finding gene regulatory networks from experimental DNA microarray data. We focus on the evaluation of the performance of different evoluti...
Christian Spieth, Rene Worzischek, Felix Streicher...
IPPS
2003
IEEE
14 years 2 months ago
Constrained Component Deployment in Wide-Area Networks Using AI Planning Techniques
Component-based models represent a dominant trend in the construction of wide-area network applications, making possible the integration of diverse functionality contained in modu...
Tatiana Kichkaylo, Anca-Andreea Ivan, Vijay Karamc...