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ICML
2008
IEEE
16 years 6 months ago
On the quantitative analysis of deep belief networks
Deep Belief Networks (DBN's) are generative models that contain many layers of hidden variables. Efficient greedy algorithms for learning and approximate inference have allow...
Ruslan Salakhutdinov, Iain Murray
ECAL
2003
Springer
15 years 11 months ago
Critical Values in Asynchronous Random Boolean Networks
Abstract Wherever we see life, we see different kinds of complex networks, reason why they are studied across various fields of science. Random Boolean Networks (RBNs) form a spe...
Bertrand Mesot, Christof Teuscher
IJCNN
2000
IEEE
15 years 10 months ago
Design and Evaluation of Neural Networks for Coin Recognition by Using GA and SA
In this paper, we propose a method to design a neural network(NN) by using a genetic algorithm(GA) and simulated annealing(SA). And also, in order to demonstrate the effectivenes...
Yasue Mitsukura, Minoru Fukumi, Norio Akamatsu
CCGRID
2004
IEEE
15 years 9 months ago
Search performance analysis and robust search algorithm in unstructured peer-to-peer networks
Recently Peer-to-Peer networks (P2P) have gained great attention and popularity. One key challenging aspect in a P2P resource sharing environment is an efficient searching algorit...
Tsungnan Lin, Hsinping Wang, Jianming Wang
ICRA
2007
IEEE
115views Robotics» more  ICRA 2007»
16 years 9 days ago
Leveraging RSSI for Robotic Repair of Disconnected Wireless Sensor Networks
Abstract— Many recent deployments of environmental sensor networks have focused on obtaining measurements across large and inhospitable areas. With increasing scale it becomes im...
Kyle Luthy, Edward Grant, Thomas C. Henderson