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IJCNN
2006
IEEE
16 years 21 days ago
Training of Large-Scale Feed-Forward Neural Networks
Abstract— Neural processing of large-scale data sets containing both many input / output variables and a large number of training examples often leads to very large networks. Onc...
Udo Seiffert
RSP
2006
IEEE
102views Control Systems» more  RSP 2006»
16 years 20 days ago
Rapid Resource-Constrained Hardware Performance Estimation
In a hardware-software co-design environment, an application is partitioned into modules. Each module is then mapped either to software or to hardware. The mapping process is driv...
Basant Kumar Dwivedi, Arun Kejariwal, M. Balakrish...
CAV
2005
Springer
99views Hardware» more  CAV 2005»
16 years 6 days ago
Automated Assume-Guarantee Reasoning for Simulation Conformance
Abstract. We address the issue of efficiently automating assume-guarantee reasoning for simulation conformance between finite state systems and specifications. We focus on a non...
Sagar Chaki, Edmund M. Clarke, Nishant Sinha, Pras...
156
Voted
CP
2005
Springer
16 years 6 days ago
Tree Decomposition with Function Filtering
Besides search, complete inference methods can also be used to solve soft constraint problems. Their main drawback is the high spatial complexity. To improve its practical usage, w...
Martí Sánchez, Javier Larrosa, Pedro...
COMPGEOM
2004
ACM
16 years 3 days ago
Deterministic sampling and range counting in geometric data streams
We present memory-efficient deterministic algorithms for constructing -nets and -approximations of streams of geometric data. Unlike probabilistic approaches, these deterministic...
Amitabha Bagchi, Amitabh Chaudhary, David Eppstein...