543 search results - page 59 / 109 » A PAC-Style Model for Learning from Labeled and Unlabeled Da... |
SDM
2004
SIAM
13 years 9 months ago
2004
SIAM
Automatic classification of documents is an important area of research with many applications in the fields of document searching, forensics and others. Methods to perform classif...
KDD
2006
ACM
14 years 8 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 ...
CORR
2011
Springer
12 years 11 months ago
2011
Springer
—Inexpensive RGB-D cameras that give an RGB image together with depth data have become widely available. We use this data to build 3D point clouds of a full scene. In this paper,...
RAID
2009
Springer
14 years 2 months ago
2009
Springer
Abstract. We propose a novel framework of autonomic intrusion detection that fulfills online and adaptive intrusion detection in unlabeled audit data streams. The framework owns a...
JMLR
2010
13 years 2 months ago
2010
Supervised learning from multiple labeling sources is an increasingly important problem in machine learning and data mining. This paper develops a probabilistic approach to this p...