Entanglement-assisted quantum error-correcting codes (EAQECCs) make use of pre-existing entanglement between the sender and receiver to boost the rate of transmission. It is possible to construct an EAQECC from any classical ...
Couceiro, M; Dubois, D; Prade, H; Rico, A; Waldhauser, T(2012)
For a distributive lattice L, we consider the problem of interpolating functions f: D→L defined on a finite set DL n, by means of lattice polynomial functions of L. Two instances of this problem have already been solved. ...
We devise a variationalBayes algorithm for fast approximate inference in Bayesian GeneralizedExtremeValue additive modelanalysis. Such models are useful for flexibly assessing the impact of continuous predictor variables ...
We present a sequential Monte Carlo sampler algorithm for the Bayesian analysis of generalised linear mixed models (GLMMs). These models support a variety of interesting regression-type analyses, but performing inference ...
For the purposes of macroscopic system design a space-time Rayleigh fading multiple-input multiple-output (MIMO) radio channel is modelled for an arbitrary transmit antenna configuration of three to six transmit antennas. ...
In this paper, we study the generalization bound for an empirical process of samples independently drawn from an infinitely divisible (ID) distribution, which is termed as the ID empirical process. In particular, based on ...
Many existing results on statistical learning theory are based on the assumption that samples are independently and identically distributed (i.i.d.). However, the assumption of i.i.d. samples is not suitable for practical ...
Webb, JK; Du, W; Pike, D; Shine, R(Current Zoology, 2010-01)
Many prey species detect chemical cues from predators and modify their behaviours in ways that reduce their risk of predation. Theory predicts that prey should modify their anti-predator responses according to the degree ...
We present a generalization of the coupled dipole method to the scattering of light by arbitrary periodic structures. This formulation of the coupled dipole method relies on the same direct-space discretization scheme that ...
Semi-supervised ranking is a relatively new and important learning problem inspired by many applications. We propose a novel graph-based regularized algorithm which learns the ranking function in the semi-supervised learning ...
There are a number of applied settings where a response is measured repeatedly over time, and the impact of a stimulus at one time is distributed over several subsequent response measures. In the motivating application the ...
To solve the problem that the existing algorithms of mining association rules result in a number of rules, upper closed set of an item set and generalized association rule base were defined. And some important propositions ...
Recent-biased approximations have received increased attention recently as a mechanism for learning trend patterns from time series or data streams. They have shown promise for clustering time series and incrementally ...
Neville, S; Palmer, M; Wand, M(Blackwell Publishing Ltd, 2011-01)
We develop Mean Field Variational Bayes methodology for fast approximate inference in Bayesian Generalized Extreme Value additive model analysis. Such models are useful for flexibly assessing the impact of continuous ...