In this paper we study the ergodicity of the queueing network system with two stations and N classes ”N is a multiple of 4” with (N4 − 1) feedbacks at the first station and N4 feedbacks at the second one under the FIFO policy and the usual conditions ρ1 = m1 + N ∑

This paper provides a survey of the theory of patchy feedbacks, and its applications to asymptotic stabilization and optimal control. It also contains two new results, showing the robustness of sub-optimal patchy feedbacks both in the case of (internal and external) deterministic disturbances, and of random perturbations modelled by stochastic Brownian motion.

Increases in atmospheric CO2 and CH4 result from a combination of forcing from anthropogenic emissions and Earth System feedbacks that reduce or amplify the effects of those emissions on atmospheric concentrations. Despite decades of research carbon-climate feedbacks remain poorly quantified. The impact of these uncertainties on future climate are of increasing concern, especially in the wake o...

This paper offers a critical review of the topic of cloud–climate feedbacks and exposes some of the underlying reasons for the inherent lack of understanding of these feedbacks and why progress might be expected on this important climate problem in the coming decade. Although many processes and related parameters come under the influence of clouds, it is argued that atmospheric processes fundam...

We study peer effects on users’ contributions to an emerging form of online word of mouth—product reviews. Provided by either consumers or third-party professionals, online reviews are closely correlated with consumers’ purchasing decisions and product sales. Individuals have incentives of free riding and maximizing social capital when providing feedbacks online. We leverage a “natural experime...

Representation of features of items and user feedbacks that are subjective, incomplete, imprecise and vague, and reasoning about their relationships are major problems in recommender systems. The paper presents a Fuzzy Theoretic Method (FTM) for recommender systems that handles the non-stochastic uncertainty induced from subjectivity, vagueness and imprecision in the data, and the domain knowle...

Many problems in information processing involve some form of dimensionality reduction, such as face recognition, image/text retrieval, data visualization, etc. The typical linear dimensionality reduction algorithms include principal component analysis (PCA), random projection, locality-preserving projection (LPP), etc. These techniques are generally unsupervised which allows them to model data ...

Online auctions are quickly becoming one of the leading branches of e-commerce. Unfortunately, online auctions attract many fraudulent activities. Reputation systems are crucial for guaranteeing fairness of trade and reliability of service. Currently used reputation systems offer little protection from malevolent contractors. In this paper we present a new method for mining the reputation of se...

Causal inference uses observations to infer the causal structure of the data generating system. We study a class of functional models that we call Time Series Models with Independent Noise (TiMINo). These models require independent residual time series, whereas traditional methods like Granger causality exploit the variance of residuals. There are two main contributions: (1) Theoretical: By res...