We describe the algorithmic and software design principles of a general grammar library designed for use in spoken-dialogue systems, speech synthesis, and other speech processing applications. The library is a set of general-purpose software tools for constructing and modifying weighted finite-state acceptors and transducers representing grammars. The tools can be used in particular to compile ...

BACKGROUND Sigma (σ) receptors are membrane-bound proteins characterised by an unusual promiscuous ability to bind a wide variety of drugs and their high affinity for typical neuroleptic drugs, such as haloperidol, and their potential as alternative targets for antipsychotic agents. Sigma receptors display diverse biological activities and represent potential fruitful targets for therapeutic de...

We consider problems in finite-sample inference with two-step, monotone incomplete data drawn from Nd(μ,Σ), a multivariate normal population with mean μ and covariance matrix Σ. We derive stochastic representations for the distributions of μ̂ and Σ̂, the maximum likelihood estimators of μ and Σ, respectively. Under the assumption that Σ is block-diagonal when partitioned according to the two-step...

In this paper, we introduce and analyze the behavior of a nonlinear subdivision operator called PPH, which comes from its associated PPH reconstruction on nonuniform grids. The acronym stands for Piecewise Polynomial Harmonic, since is built by using piecewise polynomials defined means an adaption based use weighted Harmonic mean. novelty work lies in generalization already existing scheme to c...

In this thesis we study several problems of analysis on domains with external cusps. Mainly: the density of smooth functions on Sobolev spaces, the extension problem and Korn’s inequality. It is known that many classical analysis results on standard Sobolev spaces, which are necessary for the study of partial differential equations and for approximating their solutions using numerical methods, ...

A new robust adaptive multiple models based fuzzy control scheme for a class of unknown nonlinear systems is proposed in this paper. The nonlinear system is expressed by using the Takagi–Sugeno (T–S) method, and some identification adaptive T–S models along with their corresponding controllers, are used in order to control efficiently the unknown system. The modeling error that is produced due ...