This paper describes three statistical models for the purpose of resolving query translation ambiguity for cross-language information retrieval (CLIR). First, a decaying co-occurrence model is present. It is an extension of traditional co-occurrence models in that it contains a decaying factor which decreases the mutual information when the distance between the terms increases. Second, a phrase...

Cross sections of electron-impact detachment of negative ions and of mutual neutralization between positive and negative ions are calculated using a model based on the semiclassical theory for ion–atom collisions but modified to include Coulomb trajectory effects. It is shown that the method allows us to obtain accurate results for collisions down to low energies. The Coulomb repulsion between ...

A new mutual information based algorithm is introduced for term selection in spatio-temporal models. A generalised cross validation procedure is also introduced for model length determination and examples based on cellular automata, coupled map lattice and partial differential equations are described.

We have attempted to use information theoretic quantities for analyzing neuronal connection structure from spike trains. Two point mu tual information and its maximum value, channel capacity, between a pair of neurons were found to be useful for sensitive detection of crosscorrelation and for estimation of synaptic strength, respectively. Three point mutual information among three neurons could...

In the paper we propose, using the logical entropy function, a new kind of entropy in product MV-algebras, namely the logical entropy and its conditional version. Fundamental characteristics of these quantities have been shown and subsequently, the results regarding the logical entropy have been used to define the logical mutual information of experiments in the studied case. In addition, we de...

Information theoretic measures such as the mutual information, and the recently proposed stimulus-specific information, provide a powerful tool for the study of the neural code. In practice, however, it is difficult to calculate these measures from experimental results due to the amount of data required. Fisher information, and derived quantities such as IFisher , are a popular alternative as t...

Molecular dynamics investigations of the mutual diffusion coefficients in an Ar-Kr mixture confined in the zeolite NaY are reported. Velocity auto- and cross correlations were computed at two different temperatures (200 and 600 K). The importance of the appropriate choice of reference frame while evaluating the time correlation functions is illustrated for argon in the zeolite NaY. Mutual diffu...

This study examined relations between mother-infant affect synchrony and the emergence of children's self-control. Mother-infant face-to-face play and infant difficult temperament were examined at 3 and 9 months. Maternal and infant affective states at play were coded in 0.25-s frames, and synchrony was computed with cross-correlation functions. Self-control, verbal IQ, and maternal warm discip...

This paper studies how and how much the mutual fund industry increases its fees by differentiating products over the state of nature. To avoid head-to-head competition, mutual fund managers hold different portfolios which yield distinct returns and become star funds alternatively in different market situations. This enables mutual funds to obtain stochastic monopoly power and on average charge ...

The accurate knowledge of transport properties of pure and mixture fluids is essential for the design of various chemical and mechanical systems that include fluxes of mass, momentum, and energy. In this study we determine the mutual diffusion coefficients of mixtures composed of heptane isomers and nitrogen using molecular dynamics (MD) simulations with fully atomistic intermolecular potential...