93 search results - page 17 / 19 » Optimizing kernel parameters by second-order methods |
BMCBI
2011
13 years 24 days ago
2011
Background: Most predictive methods currently available for the identification of protein secretion mechanisms have focused on classically secreted proteins. In fact, only two met...
NIPS
2007
13 years 7 months ago
2007
A situation where training and test samples follow different input distributions is called covariate shift. Under covariate shift, standard learning methods such as maximum likeli...
CORR
2010
Springer
13 years 4 months ago
2010
Springer
Structured output prediction is an important machine learning problem both in theory and practice, and the max-margin Markov network (M3 N) is an effective approach. All state-of-...
CIKM
2006
Springer
13 years 9 months ago
2006
Springer
We discuss information retrieval methods that aim at serving a diverse stream of user queries such as those submitted to commercial search engines. We propose methods that emphasi...
BMCBI
2004
13 years 5 months ago
2004
Background: Detailed knowledge of the subcellular location of each expressed protein is critical to a full understanding of its function. Fluorescence microscopy, in combination w...