780 search results - page 3 / 156 » Learning Low-Density Separators |
IJCNN
2006
IEEE
14 years 1 months ago
2006
IEEE
—In Liquid State Machines, separation is a critical attribute of the liquid—which is traditionally not trained. The effects of using Hebbian learning in the liquid to improve s...
NIPS
2008
13 years 9 months ago
2008
The cluster assumption is exploited by most semi-supervised learning (SSL) methods. However, if the unlabeled data is merely weakly related to the target classes, it becomes quest...
ICASSP
2010
IEEE
13 years 7 months ago
2010
IEEE
Dictionary learning through matrix factorization has become widely popular for performing music transcription and source separation. These methods learn a concise set of dictionar...
COLT
2005
Springer
14 years 1 months ago
2005
Springer
We consider a natural framework of learning from correlated data, in which successive examples used for learning are generated according to a random walk over the space of possibl...
ALT
2006
Springer
14 years 4 months ago
2006
Springer
This paper presents a novel paradigm for learning languages that consists of mapping strings to an appropriate high-dimensional feature space and learning a separating hyperplane i...