We recast syntactic parsing as a language modeling problem and use recent advances in neural network language modeling to achieve a new state of the art for constituency Penn Treebank parsing — 93.8 F1 on section 23, using 2-21 as training, 24 as development, plus tri-training. When trees are converted to Stanford dependencies, UAS and LAS are 95.9% and 94.1%.

When the Gaussian HJM model is recast in terms of simple forwards, it becomes dual to the LogNormal Forward model in the sense that for almost every formula in one model there is a similar formula in the other which can be obtained by simple transformation or substitution.

The social network analysis of bibliometric data needs matrices to be recast in a network framework. In this paper we argue that a simple conservation rule requires that this should be done only using fractional counting so that conservation at the paper level will be faithfully reproduced at higher levels ofaggregation (i.e. author, institute, country, journal etc.) of the complex network.

Biomedical implant rejection due to micromotion and inflammation around an leads osteolysis eventually has failure because of poor osseointegration. To enhance osseointegration, the surface modification both at nano micro-scale levels is preferred result in enhanced interface between body tissue implant. The present study focuses on Titanium (?+?) ELI medical grade alloy using powder-mixed elec...

Abstract The field of artificial neural networks is expected to strongly benefit from recent developments quantum computers. In particular, machine learning, a class algorithms which exploit qubits for creating trainable networks, will provide more power solve problems such as pattern recognition, clustering and learning in general. building block feed-forward consists one layer neurons connect...

It is shown that, by a suitable embedding in the standard H1-optimal control problem, the generalized H1-optimal control problem can be recast as a 1-block Nehari problem. Since an explicit solution exists for the latter, there appears to be little need for the iterative polynomial-based solution procedures recently presented in the literature.

In this poster, we propose to recast the idea of knowledge compilation into approximating OWL DL ontologies with DL-Lite ontologies, against which query answering has only polynomial data complexity. We identify a useful category of queries for which our approach also guarantees completeness. Furthermore, we paper report on the implementation of our approach in the ONTOSEARCH2 system.

It is proved that the roots of combinations of matrix polynomials with real roots can be recast as eigenvalues of combinations of real symmetric matrices, under certain hypotheses. The proof is based on recent solution of the Lax conjecture. Several applications and corollaries, in particular concerning hyperbolic matrix polynomials, are presented.

We show in the present paper that many open and challenging problems in control theory belong to the class of concave minimization programs. More precisely, these problems can be recast as the minimization of a concave objective function over convex LMI (Linear Matrix Inequality) constraints. In this setting, these problems can then be eeciently handled using local and/or global optimization te...