661 search results - page 111 / 133 » Generalized clustering, supervised learning, and data assign... |
ICCV
2009
IEEE
15 years 1 months ago
2009
IEEE
Similarity metrics that are learned from labeled training
data can be advantageous in terms of performance
and/or efficiency. These learned metrics can then be used
in conjuncti...
JMLR
2006
13 years 8 months ago
2006
This paper introduces a learning method for two-layer feedforward neural networks based on sensitivity analysis, which uses a linear training algorithm for each of the two layers....
CIVR
2008
Springer
13 years 10 months ago
2008
Springer
As the consequence of semantic gap, visual similarity does not guarantee semantic similarity, which in general is conflicting with the inherent assumption of many generativebased ...
AI
2009
Springer
14 years 3 months ago
2009
Springer
In many practical domains, misclassification costs can differ greatly and may be represented by class ratios, however, most learning algorithms struggle with skewed class distrib...
ICGA
2007
13 years 8 months ago
2007
Abstract. Move patterns are an essential method to incorporate domain knowledge into Go-playing programs. This paper presents a new Bayesian technique for supervised learning of su...