7 search results - page 1 / 2 » Unsupervised Supervised Learning I: Estimating Classificatio... |
JMLR
2010
12 years 11 months ago
2010
Estimating the error rates of classifiers or regression models is a fundamental task in machine learning which has thus far been studied exclusively using supervised learning tech...
PAMI
2010
12 years 11 months ago
2010
Abstract--This paper presents local spline regression for semisupervised classification. The core idea in our approach is to introduce splines developed in Sobolev space to map the...
KDD
2006
ACM
14 years 5 months ago
2006
ACM
Kernel machines have been shown as the state-of-the-art learning techniques for classification. In this paper, we propose a novel general framework of learning the Unified Kernel ...
NECO
2011
12 years 11 months ago
2011
Selection of an optimal estimator typically relies on either supervised training samples (pairs of measurements and their associated true values), or a prior probability model for...
TEC
2010
12 years 11 months ago
2010
We propose a unified data modeling approach that is equally applicable to supervised regression and classification applications, as well as to unsupervised probability density func...