1854 search results - page 205 / 371 » On Kernel Methods for Relational Learning |
121
Voted
BIBM
2007
IEEE
15 years 10 months ago
2007
IEEE
Discovering human disease-causing genes (disease genes in short) is one of the most challenging problems in bioinformatics and biomedicine, as most diseases are related in some wa...
136
Voted
AAAI
2008
15 years 6 months ago
2008
Most manifold learning methods consider only one similarity matrix to induce a low-dimensional manifold embedded in data space. In practice, however, we often use multiple sensors...
139
Voted
AAAI
2010
15 years 3 months ago
2010
Many methods for quantitative structure-activity relationships (QSARs) deliver point estimates only, without quantifying the uncertainty inherent in the prediction. One way to qua...
167
Voted
ICCV
2011
IEEE
14 years 3 months ago
2011
IEEE
Rank correlation measures are known for their resilience to perturbations in numeric values and are widely used in many evaluation metrics. Such ordinal measures have rarely been ...
207
Voted
PAMI
2012
13 years 6 months ago
2012
— Over the last century, Component Analysis (CA) methods such as Principal Component Analysis (PCA), Linear Discriminant Analysis (LDA), Canonical Correlation Analysis (CCA), Lap...