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NIPS
2004
13 years 9 months ago
Maximising Sensitivity in a Spiking Network
We use unsupervised probabilistic machine learning ideas to try to explain the kinds of learning observed in real neurons, the goal being to connect abstract principles of self-or...
Anthony J. Bell, Lucas C. Parra
TOOLS
2000
IEEE
13 years 12 months ago
More Meaningful UML Models
UML is widely used today for modelling complex systems. However, the tools support capabilities for UML is limited, partially due to its lack of precise semantics. There are some ...
Ileana Ober
EUROCRYPT
2007
Springer
14 years 1 months ago
Universally Composable Multi-party Computation Using Tamper-Proof Hardware
Protocols proven secure within the universal composability (UC) framework satisfy strong and desirable security properties. Unfortunately, it is known that within the “plain” m...
Jonathan Katz
WSC
2007
13 years 10 months ago
Communication and process simulation of set-based design for concrete reinforcement
Two discrete-event simulations are developed to assess the feasibility of improving the delivery process of reinforced concrete structures. The simulations represent the resource ...
John-Michael Wong, Kristen Parrish, Iris D. Tommel...
ASPLOS
1992
ACM
13 years 11 months ago
Parity Declustering for Continuous Operation in Redundant Disk Arrays
We describe and evaluate a strategy for declustering the parity encoding in a redundant disk array. This declustered parity organization balances cost against data reliability and...
Mark Holland, Garth A. Gibson