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ICCAD
1996
IEEE
87views Hardware» more  ICCAD 1996»
13 years 11 months ago
Partitioned ROBDDs - a compact, canonical and efficiently manipulable representation for Boolean functions
We presenta new representationfor Boolean functions called PartitionedROBDDs. In this representation we divide the Boolean space into `k' partitions and represent a function ...
Amit Narayan, Jawahar Jain, Masahiro Fujita, Alber...
ICCD
2008
IEEE
139views Hardware» more  ICCD 2008»
14 years 4 months ago
Probabilistic error propagation in logic circuits using the Boolean difference calculus
- A gate level probabilistic error propagation model is presented which takes as input the Boolean function of the gate, the signal and error probabilities of the gate inputs, and ...
Nasir Mohyuddin, Ehsan Pakbaznia, Massoud Pedram
STOC
1993
ACM
141views Algorithms» more  STOC 1993»
13 years 11 months ago
Bounds for the computational power and learning complexity of analog neural nets
Abstract. It is shown that high-order feedforward neural nets of constant depth with piecewisepolynomial activation functions and arbitrary real weights can be simulated for Boolea...
Wolfgang Maass
IWANN
2005
Springer
14 years 1 months ago
Role of Function Complexity and Network Size in the Generalization Ability of Feedforward Networks
The generalization ability of different sizes architectures with one and two hidden layers trained with backpropagation combined with early stopping have been analyzed. The depend...
Leonardo Franco, José M. Jerez, José...
STOC
1996
ACM
118views Algorithms» more  STOC 1996»
13 years 11 months ago
Characterizing Linear Size Circuits in Terms of Privacy
In this paper we prove a perhaps unexpected relationship between the complexity class of the boolean functions that have linear size circuits, and n-party private protocols. Speci...
Eyal Kushilevitz, Rafail Ostrovsky, Adi Rosé...