278 search results - page 17 / 56 » Strong Separation of Learning Classes |
COLT
2000
Springer
15 years 1 months ago
2000
Springer
We investigate the computational complexity of the task of detecting dense regions of an unknown distribution from un-labeled samples of this distribution. We introduce a formal l...
TCBB
2010
14 years 4 months ago
2010
Automatic classification of proteins using machine learning is an important problem that has received significant attention in the literature. One feature of this problem is that e...
NIPS
1996
14 years 10 months ago
1996
It is shown that conventional computers can be exponentially faster than planar Hopfield networks: although there are planar Hopfield networks that take exponential time to conver...
78
Voted
GLVLSI
2005
IEEE
15 years 3 months ago
2005
IEEE
We develop a neural network that learns to separate the nominal from the faulty instances of a circuit in a measurement space. We demonstrate that the required separation boundari...
106
click to vote
ICANN
2005
Springer
15 years 3 months ago
2005
Springer
Spike synchronisation and de-synchronisation are important for feature binding and separation at various levels in the visual system. We present a model of complex valued neuron ac...