543 search results - page 2 / 109 » A PAC-Style Model for Learning from Labeled and Unlabeled Da... |
ICANN
2009
Springer
13 years 9 months ago
2009
Springer
This paper proposes a modelling of Support Vector Machine (SVM) learning to address the problem of learning with sloppy labels. In binary classification, learning with sloppy labe...
KDD
2008
ACM
14 years 5 months ago
2008
ACM
The input to an algorithm that learns a binary classifier normally consists of two sets of examples, where one set consists of positive examples of the concept to be learned, and ...
DAGM
2004
Springer
13 years 10 months ago
2004
Springer
We consider the general problem of learning from labeled and unlabeled data. Given a set of points, some of them are labeled, and the remaining points are unlabeled. The goal is to...
ICCV
2009
IEEE
14 years 9 months ago
2009
IEEE
Labeling image collections is a tedious task, especially
when multiple labels have to be chosen for each image. In
this paper we introduce a new framework that extends state
of ...
ICML
2005
IEEE
14 years 5 months ago
2005
IEEE
We propose a general framework for learning from labeled and unlabeled data on a directed graph in which the structure of the graph including the directionality of the edges is co...