417 search results - page 41 / 84 » Rough Sets Similarity-Based Learning from Databases |
CIKM
2008
Springer
13 years 9 months ago
2008
Springer
Learning a sequence classifier means learning to predict a sequence of output tags based on a set of input data items. For example, recognizing that a handwritten word is "ca...
RECOMB
2008
Springer
14 years 8 months ago
2008
Springer
We developed Gr?mlin 2.0, a new multiple network aligner with (1) a novel scoring function that can use arbitrary features of a multiple network alignment, such as protein deletion...
IVC
2007
13 years 7 months ago
2007
ct 8 For a specific set of features chosen for representing images, the performance of a content-based image retrieval (CBIR) system 9 depends critically on the similarity or diss...
ACIIDS
2010
IEEE
13 years 10 months ago
2010
IEEE
Abstract. A genetic algorithm is used to learn a non-deterministic Petri netbased model of non-linear gene interactions, or statistical epistasis. Petri nets are computational mode...
FOCS
2010
IEEE
13 years 5 months ago
2010
IEEE
Boosting is a general method for improving the accuracy of learning algorithms. We use boosting to construct improved privacy-preserving synopses of an input database. These are da...