Given a publicly available pool of machine learning models constructed for various tasks, when user plans to build model her own application, is it possible upon in the such that previous efforts on these existing can be reused rather than starting from scratch? Here, grand challenge how find are helpful current without accessing raw training data pool. In this paper, we present two-phase frame...

IT-Unterstützung im Lernprozess ist ein Schlüsselfaktor für den Erfolg innovativer Lehr-/Lernszenarien. Notwendige Voraussetzung hierfür ist die sinngetreue Nutzung von Learning Management Systemen (LMS) durch den Lernenden, um den Lernerfolg in innovativen Lehr-/Lernszenarien sicherzustellen. Dennoch gibt es bislang kaum Erkenntnisse, was die sinngetreue Nutzung von LMS beeinflusst. Im ersten ...

Abstract—A relative efficiency is defined as Ridge Estimate in the general linear model. The relative efficiency is based on the Mean square error. In this paper, we put forward a parameter of Ridge Estimate and discussions are made on the relative efficiency between the ridge estimation and the General Ridge Estimate. Eventually, this paper proves that the estimation is better than the general...

We assume a distribution of clouds optically thick for electron scattering (OTCM) which are moderately optically thin for absorption and we consider them as a model of the mean quasar spectrum of Laor et al. (1997). We show that the model is particularly sensitive to the value of the ionization parameter ξ and that for ξ ∼ 500 the model well reproduces the optical/UV/X-ray mean quasar spectrum,...

In this paper, we propose a mean-field model which attempts to bridge the gap between random Boolean networks and more realistic stochastic modeling of genetic regulatory networks. The main idea of the model is to replace all regulatory interactions to any one gene with an average or effective interaction, which takes into account the repression and activation mechanisms. We find that depending...

This paper discusses the uncertain portfolio selection problem when security returns cannot be well reflected by historical data. It is proposed that uncertain variable should be used to reflect the experts’ subjective estimation of security returns. Regarding the security returns as uncertain variables, the paper introduces a risk curve and develops a mean-risk model. In addition, the crisp fo...

In this note we investigate the ability of a mean-field model distilled from the heterogeneous agents model of [7] to simulate stylized facts of financial times series.

Several approximate Mean Value Analysis (MVA) shared memory multiprocessor models have been developed and used to evaluate a number of system architectures. In recent years, the use of superscalar processors, multilevel cache hierarchies, and latency tolerating techniques has signi cantly increased the complexity of multiprocessor system modeling. We present an analytical performance model whic...