BMCBI
2010
13 years 4 months ago
2010
Background: The enumeration of tetrameric and other sequence motifs that are positively or negatively correlated with in vivo antisense DNA effects has been a useful addition to t...
BMCBI
2010
13 years 4 months ago
2010
Background: Mathematical modeling is being applied to increasingly complex biological systems and datasets; however, the process of analyzing and calibrating against experimental ...
BMCBI
2010
13 years 4 months ago
2010
Background: We present a statistical method of analysis of biological networks based on the exponential random graph model, namely p2-model, as opposed to previous descriptive app...
AUTOMATICA
2008
13 years 4 months ago
2008
This paper presents a new approach to guaranteed state estimation for nonlinear discrete-time systems with a bounded description of noise and parameters. The sets of states that a...
AUTOMATICA
2010
13 years 4 months ago
2010
We consider a class of systems influenced by perturbations that are nonlinearly parameterized by unknown constant parameters, and develop a method for estimating the unknown param...
ICIP
2007
IEEE
13 years 5 months ago
2007
IEEE
The H.264 hypothetical reference decoder (HRD) ensures interoperability and smooth playback of video. Because the encoded bit rate may not match the channel rate, buffering and ti...
ACL
1997
13 years 6 months ago
1997
A new account of parameter setting during grammatical acquisition is presented in terms of Generalized Categorial Grammar embedded in a default inheritance hierarchy, providing a ...
ICMAS
1998
13 years 6 months ago
1998
abstract, form of this problem, we use a mathematical analysis to show that three different messaging protocols result in varying message loads, depending on certain parameters suc...
FLAIRS
2004
13 years 6 months ago
2004
Bayesian network is a popular modeling tool for uncertain domains that provides a compact representation of a joint probability distribution among a set of variables. Even though ...
CASCON
2006
13 years 6 months ago
2006
One aspect of autonomic computing is the ability to identify, separate and automatically tune parameters related to performance, security, robustness and other properties of a sof...