266 search results - page 29 / 54 » Is Combining Classifiers Better than Selecting the Best One |
92
Voted
ICML
2008
IEEE
16 years 1 months ago
2008
IEEE
Recently, instead of selecting a single kernel, multiple kernel learning (MKL) has been proposed which uses a convex combination of kernels, where the weight of each kernel is opt...
121
Voted
EMNLP
2007
15 years 2 months ago
2007
Semantic inference is a core component of many natural language applications. In response, several researchers have developed algorithms for automatically learning inference rules...
103
Voted
BMCBI
2007
15 years 20 days ago
2007
Background: The secondary structure of an RNA must be known before the relationship between its structure and function can be determined. One way to predict the secondary structur...
BMCBI
2006
15 years 18 days ago
2006
Background: A large number of genes usually show differential expressions in a microarray experiment with two types of tissues, and the p-values of a proper statistical test are o...
112
Voted
BMCBI
2006
15 years 18 days ago
2006
Background: Overfitting the data is a salient issue for classifier design in small-sample settings. This is why selecting a classifier from a constrained family of classifiers, on...