59 search results - page 11 / 12 » Minimax Bounds for Active Learning |
AMAI
2002
Springer
13 years 6 months ago
2002
Springer
act It is well-established that a multi-layer perceptron (MLP) with a single hidden layer of N neurons and an activation function bounded by zero at negative infinity and one at in...
BC
2010
13 years 3 months ago
2010
We have previously tried to explain perceptual inference and learning under a free-energy principle that pursues Helmholtz's agenda to understand the brain in terms of energy ...
CRYPTO
2001
Springer
13 years 11 months ago
2001
Springer
Consider a scenario where an l-bit secret has been distributed among n players by an honest dealer using some secret sharing scheme. Then, if all players behave honestly, the secre...
NIPS
2004
13 years 7 months ago
2004
In the context of binary classification, we define disagreement as a measure of how often two independently-trained models differ in their classification of unlabeled data. We exp...
NECO
1998
13 years 6 months ago
1998
Since their conception half a century ago Hebbian cell assemblies have become a basic term in the Neurosciences, and the idea that learning takes place through synaptic modi catio...