The competing risks model is useful in settings in which individuals (or units) may die (or fail) due to a number of different causes. It can also be the case that for some of the items the failure cause is known only up to a subgroup of all causes in which case we say that the failure is group masked. A widely used approach for competing risks data with and without masking involves the specifi...

Recently S. Luo and Q. Zhang proved a different kind of uncertainty principle (see [3], Theorem 2), in the SchrNodinger form, where the lower bound appears because the variables A,B are not commuting with the state ρ (in contrast with standard uncertainty principle where the bound depends on the commutator [A,B]). This result was conjectured by S. Luo himself and Z. Zhang in a previous paper [4...

Christopher Potts Fiengo and May (1994) seek to explain the absence of certain Principle C violations in elided structures by appeal to a mechanism of vehicle change, which realizes names as pronominal correlates in elided syntax. The impossibility of certain extractions shows that elided phrases contain anti-pronominal contexts (ACs)environments that preclude definite pronouns of various sort...

in 2d soccer simulation league, agents will decide based on information and data in their model. effective decisions need to have world model information without any noise and missing data; however, there are few solutions to omit noise in world model data; so we should find efficient ways to reduce the effect of noise when making decisions. in this article we evaluate some simple solutions whe...

We establish a monotonicity principle for convex functions that enables high-level reasoning about capacity in information theory. Despite its simplicity, this single idea is remarkably applicable. It leads to a significant extension of algebraic information theory, a solution of the capacity reduction problem, intuitive graphical methods for comparing channels, new inequalities that provide us...

Exponential models of distributions are widely used in machine learning for classification and modelling. It is well known that they can be interpreted as maximum entropy models under empirical expectation constraints. In this work, we argue that for classification tasks, mutual information is a more suitable information theoretic measure to be optimized. We show how the principle of minimum mu...

Information grid researches on enabling technologies for sharing information and application effectively and expediently in a wide-area enterprise environment. The Grid-Key/Grid architecture of Vega Information Grid aims to enable user to use grid application at anytime, anywhere by any device, and to achieve a high productivity services. Accordingly, the evaluation of information grid needs to...

We study diffusion phenomena from the point of view of information theory. The system of interest with a given Hamiltonian is placed in the context of stochastic dynamics. According to the result of our recent work, this dynamic system maximizes its uncertainty of motion measured by a path information in order to follow the least action principle of mechanics. In this work, this methodology is ...