1172 search results - page 11 / 235 » From Data Distributions to Regularization in Invariant Learn... |
PROFES
2010
Springer
14 years 2 months ago
2010
Springer
Collecting large consistent data sets for real world software projects is problematic. Therefore, we explore how little data are required before the predictor performance plateaus...
ECML
2005
Springer
14 years 3 months ago
2005
Springer
Abstract. We study the problem of learning from positive and unlabeled examples. Although several techniques exist for dealing with this problem, they all assume that positive exam...
TIM
2010
13 years 5 months ago
2010
Electrical capacitance tomography (ECT) attempts to image the permittivity distribution of an object by measuring the electrical capacitance between sets of electrodes placed aroun...
MICCAI
2010
Springer
13 years 8 months ago
2010
Springer
High Angular Resolution Imaging (HARDI) can better explore the complex micro-structure of white matter compared to Diffusion Tensor Imaging (DTI). Orientation Distribution Functio...
PKDD
2010
Springer
13 years 8 months ago
2010
Springer
We consider the problem of numerical stability and model density growth when training a sparse linear model from massive data. We focus on scalable algorithms that optimize certain...