18 search results - page 1 / 4 » Learning Convex Concepts from Gaussian Distributions with PC... |
FOCS
2010
IEEE
13 years 5 months ago
2010
IEEE
We present a new algorithm for learning a convex set in n-dimensional space given labeled examples drawn from any Gaussian distribution. The complexity of the algorithm is bounded ...
FOCS
2008
IEEE
14 years 1 months ago
2008
IEEE
We study the learnability of sets in Rn under the Gaussian distribution, taking Gaussian surface area as the “complexity measure” of the sets being learned. Let CS denote the ...
ICPR
2010
IEEE
14 years 2 months ago
2010
IEEE
We propose a learning method for gait synthesis from a sequence of shapes(frames) with the ability to extrapolate to novel data. It involves the application of PCA, first to redu...
NIPS
2008
13 years 9 months ago
2008
Confidence-weighted (CW) learning [6], an online learning method for linear classifiers, maintains a Gaussian distributions over weight vectors, with a covariance matrix that repr...
COLT
2004
Springer
14 years 25 days ago
2004
Springer
Abstract. The Gram matrix plays a central role in many kernel methods. Knowledge about the distribution of eigenvalues of the Gram matrix is useful for developing appropriate model...