1864 search results - page 140 / 373 » Modeling Classification and Inference Learning |
ICPR
2010
IEEE
14 years 10 months ago
2010
IEEE
Unlike most previous manifold-based data classification algorithms assume that all the data points are on a single manifold, we expect that data from different classes may reside ...
105
Voted
ECML
2006
Springer
15 years 4 months ago
2006
Springer
Abstract. In this paper, we propose a new method for learning to rank. `Ranking SVM' is a method for performing the task. It formulizes the problem as that of binary classific...
131
Voted
WEBI
2010
Springer
14 years 10 months ago
2010
Springer
The widespread use of ontologies to associate semantics with data has resulted in a growing interest in the problem of learning predictive models from data sources that use differe...
132
click to vote
PAMI
2012
13 years 3 months ago
2012
—Modeling data with linear combinations of a few elements from a learned dictionary has been the focus of much recent research in machine learning, neuroscience, and signal proce...
92
Voted
ESANN
2008
15 years 2 months ago
2008
Abstract. This paper discusses a machine learning approach for binary classification problems which satisfies the specific requirements of safety-related applications. The approach...