We propose a new kind of finite-state automata, suitable for structured input characters corresponding to unranked trees of small depth. As a motivating application, we regard executing morphosyntactic queries on a richly annotated text corpus.

Such differences may also be responsible for the cause of hereditary disease. Genetic Association Hypothesis testing then is the study to find which SNP’s are causal (or associated) vis-a-vis a hereditary disease. Going site to site we try and associate the genotype with a phenotype. Usually these genetic association mappings are very sparse, (1 in 1000) and may represent basic differences in b...

The present study assessed the construct validity and reliability of a researcher-constructed psycho-motor mechanism scale based on the communicative theory of translation proposed by PACTE (2003). In doing so, the necessary criteria for designing the scale were obtained by a thorough review of related literature on previously constructed scales in error analysis or holistic ones. Moreover, in ...

Current solutions to multimedia modeling tasks feature sequential models and static tree-structured models. Sequential models, especially models based on Bidirectional LSTM (BLSTM) and Multilayer LSTM networks, have been widely applied on video, sound, music and text corpora. Despite their success in achieving state-of-the-art results on several multimedia processing tasks, sequential models al...

This paper describes the VITE system, a spatial hypertext system that supports two-way mapping for projecting structured information to a two-dimensional workspace and updating the structured information based on user interactions in the workspace. VITE uses information visualization techniques to render structured information in the workspace and provides users an environment to interact with ...

The design of general purpose operating systems impose constraints on the way one can structure real-time applications. This paper addresses the problem of minimizing the end-to-end latency of applications that are structured as a set of cooperating (real-time) tasks. When applications are structured as a set of cooperating tasks the time required for data to progress from an input task to an o...

We employ a recently introduced structured input-output analysis (SIOA) approach to analyze streamwise and spanwise wavelengths of flow structures in stably stratified plane Couette flow. In the low-Reynolds number ($Re$) low-bulk Richardson ($Ri_b$) spatially intermittent regime, we demonstrate that SIOA predicts high amplification associated with corresponding characteristic oblique turbulent...

Abstract Artificial neural networks are referred to as universal approximators due their inherent ability reconstruct complex linear and nonlinear output maps conceived input-output relationships from data sets. This can be done by reducing large via regularization in order establish compact models containing fewer parameters aimed at describing vital dependencies In situations where the sets c...