160 search results - page 31 / 32 » Inferring Gene Regulatory Networks by Machine Learning Metho... |
GECCO
2008
Springer
13 years 8 months ago
2008
Springer
Probabilistic model building methods can render difficult problems feasible by identifying and exploiting dependencies. They build a probabilistic model from the statistical prope...
IJCNN
2006
IEEE
14 years 1 months ago
2006
IEEE
Abstract— Making inferences and choosing appropriate responses based on incomplete, uncertainty and noisy data is challenging in financial settings particularly in bankruptcy de...
ICONIP
2010
13 years 4 months ago
2010
Recently, some non-coding small RNAs, known as microRNAs (miRNA), have drawn a lot of attention to identify their role in gene regulation and various biological processes. The miRN...
JMLR
2010
13 years 2 months ago
2010
Markov Random Fields (MRFs) are an important class of probabilistic models which are used for density estimation, classification, denoising, and for constructing Deep Belief Netwo...
ICML
2005
IEEE
14 years 8 months ago
2005
IEEE
Protein fold recognition is a key step towards inferring the tertiary structures from amino-acid sequences. Complex folds such as those consisting of interacting structural repeat...