39 search results - page 2 / 8 » Covariance Regularization for Supervised Learning in High Di... |
SAC
2006
ACM
13 years 11 months ago
2006
ACM
“The curse of dimensionality” is pertinent to many learning algorithms, and it denotes the drastic raise of computational complexity and classification error in high dimension...
NIPS
2004
13 years 6 months ago
2004
We consider the semi-supervised learning problem, where a decision rule is to be learned from labeled and unlabeled data. In this framework, we motivate minimum entropy regulariza...
TIP
2010
12 years 12 months ago
2010
We propose a unified manifold learning framework for semi-supervised and unsupervised dimension reduction by employing a simple but effective linear regression function to map the ...
ADMA
2009
Springer
13 years 11 months ago
2009
Springer
Image spam is a new trend in the family of email spams. The new image spams employ a variety of image processing technologies to create random noises. In this paper, we propose a s...
JMLR
2010
12 years 12 months ago
2010
The versatility of exponential families, along with their attendant convexity properties, make them a popular and effective statistical model. A central issue is learning these mo...