61 search results - page 11 / 13 » Adaptive Importance Sampling with Automatic Model Selection ... |
149
Voted
BIOCOMP
2008
15 years 4 months ago
2008
Background: Inferring a gene regulatory network (GRN) from high throughput biological data is often an under-determined problem and is a challenging task due to the following reas...
124
Voted
HPDC
2007
IEEE
15 years 9 months ago
2007
IEEE
We study stochastic models to mitigate the risk of poor Quality-of-Service (QoS) in computational markets. Consumers who purchase services expect both price and performance guaran...
140
Voted
ESANN
2006
15 years 4 months ago
2006
In this article, we extend a local prototype-based learning model by active learning, which gives the learner the capability to select training samples during the model adaptation...
94
Voted
BMCBI
2008
15 years 2 months ago
2008
Background: Discovering overrepresented patterns in amino acid sequences is an important step in protein functional element identification. We adapted and extended NestedMICA, an ...
120
Voted
RECOMB
2008
Springer
16 years 3 months ago
2008
Springer
Understanding the variation of recombination rates across a given genome is crucial for disease gene mapping and for detecting signatures of selection, to name just a couple of app...