330 search results - page 1 / 66 » Self-taught learning: transfer learning from unlabeled data |
CORR
2010
Springer
12 years 11 months ago
2010
Springer
Recent theoretical and empirical work in statistical machine learning has demonstrated the importance of learning algorithms for deep architectures, i.e., function classes obtaine...
ICML
2007
IEEE
14 years 5 months ago
2007
IEEE
We present a new machine learning framework called "self-taught learning" for using unlabeled data in supervised classification tasks. We do not assume that the unlabele...
ICML
2002
IEEE
14 years 5 months ago
2002
IEEE
CVPR
2008
IEEE
14 years 6 months ago
2008
IEEE
To learn a new visual category from few examples, prior knowledge from unlabeled data as well as previous related categories may be useful. We develop a new method for transfer le...
NIPS
2008
13 years 5 months ago
2008
In this paper, we address the question of what kind of knowledge is generally transferable from unlabeled text. We suggest and analyze the semantic correlation of words as a gener...