104 search results - page 1 / 21 » A Probabilistic Learning Approach to Whole-Genome Operon Pre... |
ISMB
2000
13 years 6 months ago
2000
We present a computational approach to predicting operons in the genomes of prokaryotic organisms. Our approach uses machine learning methods to induce predictive models for this ...
BMCBI
2007
13 years 4 months ago
2007
Background: In vertebrates, a large part of gene transcriptional regulation is operated by cisregulatory modules. These modules are believed to be regulating much of the tissue-sp...
AAMAS
2010
Springer
13 years 4 months ago
2010
Springer
During face-to-face interactions, listeners use backchannel feedback such as head nods as a signal to the speaker that the communication is working and that they should continue sp...
Publication
We present a class of models that, via a simple construction,
enables exact, incremental, non-parametric, polynomial-time,
Bayesian inference of conditional measures. The approac...
ICML
2005
IEEE
14 years 5 months ago
2005
IEEE
In this paper, we propose a probabilistic kernel approach to preference learning based on Gaussian processes. A new likelihood function is proposed to capture the preference relat...