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» Learning Rules and Their Exceptions
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EAAI
2006
157views more  EAAI 2006»
14 years 9 months ago
Blind source separation based on self-organizing neural network
This contribution describes a neural network that self-organizes to recover the underlying original sources from typical sensor signals. No particular information is required abou...
Anke Meyer-Bäse, Peter Gruber, Fabian J. Thei...
NIPS
2000
14 years 11 months ago
Learning Winner-take-all Competition Between Groups of Neurons in Lateral Inhibitory Networks
It has long been known that lateral inhibition in neural networks can lead to a winner-take-all competition, so that only a single neuron is active at a steady state. Here we show...
Xiaohui Xie, Richard H. R. Hahnloser, H. Sebastian...
ECOOP
2009
Springer
15 years 10 months ago
Failboxes: Provably Safe Exception Handling
The primary goal of exception mechanisms is to help ensure that when an operation fails, code that depends on the operation's successful completion is not executed (a property...
Bart Jacobs 0002, Frank Piessens
JCS
2006
91views more  JCS 2006»
14 years 9 months ago
A survey of algebraic properties used in cryptographic protocols
Abstract: Cryptographic protocols are successfully analyzed using formal methods. However, formal approaches usually consider the encryption schemes as black boxes and assume that ...
Véronique Cortier, Stéphanie Delaune...
SIGSOFT
2008
ACM
15 years 10 months ago
Why do developers neglect exception handling?
In this paper, we explore the problems associated with exception handling from a new dimension: the human. We designed a study that evaluates (1) different perspectives of softwar...
Carsten Görg, Hina Shah, Mary Jean Harrold