661 search results - page 32 / 133 » Generalized clustering, supervised learning, and data assign... |
148
Voted
HIS
2007
15 years 4 months ago
2007
—Machine learning is inherently a multiobjective task. Traditionally, however, either only one of the objectives is adopted as the cost function or multiple objectives are aggreg...
104
Voted
ALT
2008
Springer
16 years 13 days ago
2008
Springer
We give a bound on the expected reconstruction error for a general coding method where data in a Hilbert space are represented by finite dimensional coding vectors. The result can...
127
click to vote
ICML
2005
IEEE
16 years 4 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...
154
click to vote
CVPR
2006
IEEE
16 years 5 months ago
2006
IEEE
We consider the general problem of learning from both labeled and unlabeled data. Given a set of data points, only a few of them are labeled, and the remaining points are unlabele...
119
Voted
EPIA
2003
Springer
15 years 8 months ago
2003
Springer
Most of supervised learning algorithms assume the stability of the target concept over time. Nevertheless in many real-user modeling systems, where the data is collected over an ex...