Background: Microarray data normalization is an important step for obtaining data that are reliable and usable for subsequent analysis. One of the most commonly utilized normaliza...
John A. Berger, Sampsa Hautaniemi, Anna-Kaarina J&...
Probabilistic robustness analysis and synthesis for nonlinear systems with uncertain parameters are presented. Monte Carlo simulation is used to estimate the likelihood of system ...
Abstract. Synaptic release was simulated using a Simulink sequential storage model with three vesicular pools. Modeling was modular and easily extendable to the systems with greate...
This paper presents a method for learning the parameters of rhythmic walking to generate purposive humanoid motions. The controller consists of the two layers: rhythmic walking is...
Abstract: We present a new type of sat problem called the k-gd-sat, which generalizes k-sat and gd-sat. In k-gd-sat, clause lengths have geometric distribution, controlled by a pro...
Milena Vujosevic-Janicic, Jelena Tomasevic, Predra...
Analysis of biopolymer sequences and structures generally adopts one of two approaches: use of detailed biophysical theoretical models of the system with experimentally-determined...
Scott C. Schmidler, Joseph E. Lucas, Terrence G. O...
Extensible lattice sequences have been proposed and studied in [5–7]. For the special case of extensible Korobov sequences, parameters can be found in [6]. The searches made to ...
The power hazard function is defined by h(t) = atk . In this investigation, we use the least squares type estimation to estimate the parameter a when k is known, the parameter k w...
In this paper we analyze and evaluate the effects of some pre-defined process parameters on the performance of a manufacturing system. These parameters include two different plant...
Abstract In this paper, we examine the sensitivity of trust-region algorithms on the parameters related to the step acceptance and update of the trust region. We show, in the conte...
Nicholas I. M. Gould, Dominique Orban, Annick Sart...