1541 search results - page 173 / 309 » Learning to Diagnose by Doing |
FLAIRS
2009
14 years 7 months ago
2009
A neural net with multiple output nodes is capable of distinguishing among a set of related input classes even in the absence of training. It can do so with an accuracy that is ma...
CDC
2010
IEEE
14 years 5 months ago
2010
IEEE
The asymptotic behavior of stochastic gradient algorithms is studied. Relying on some results of differential geometry (Lojasiewicz gradient inequality), the almost sure pointconve...
TSP
2010
14 years 4 months ago
2010
We consider the problem of learning Gaussian multiresolution (MR) models in which data are only available at the finest scale and the coarser, hidden variables serve both to captu...
ICML
2005
IEEE
15 years 11 months ago
2005
IEEE
Naive Bayes is an effective and efficient learning algorithm in classification. In many applications, however, an accurate ranking of instances based on the class probability is m...
WWW
2003
ACM
15 years 10 months ago
2003
ACM
Traditionally, when one wants to learn about a particular topic, one reads a book or a survey paper. With the rapid expansion of the Web, learning in-depth knowledge about a topic...