This project aims at applying neural network-based deep learning to the problem of extractive text summarization. Our work is inspired by the work of Collobert and Weston [Collobert et al., 2011], who created a unified deep learning architecture to learn several common NLP tasks. In this report, we give the motivation behind our work, describe our problem formulation and present some results.

We provide an extension of concurrent Kleene algebras to account for probabilistic properties. The algebra yields a unified framework containing nondeterminism, concurrency and probability and is sound with respect to the set of probabilistic automata modulo probabilistic simulation. We use the resulting algebra to generalise the algebraic formulation of a variant of Jones’ rely/guarantee calcu...

© 2012 Khan et al., licensee InTech. This is an open access chapter distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/3.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. Towards the Formulation of a Unified Data Mining Theory, Implemented by Means of Multia...

The k-cosymplectic Lagrangian and Hamiltonian formalisms of first-order field theories are reviewed and completed. In particular they are stated for singular almost-regular systems. After that, both formalisms are unified by giving an extension of the Skinner-Rusk formulation on classical mechanics for first-order field theories. M.S. Classification (2000): 70S05, 53D05, 53Z05

This paper summarizes work on a General Branch and Bound formulation which includes previous formulations as special cases and provides a unified approach to understanding most heuristic search procedures developed in A.I. for Pattern Analysis University of Maryland, College Park, MD 20742

In this paper, we propose a unified framework to address the problem of cytological computeraided diagnosis. Such an approach relies on our previously introduced formalisms: general formulation of discrete functional regularization, PDEs based morphology and geometric diffusion on graphs. The approach is illustrated through two applications in cytopathology, with examples of nucleus extraction ...

D-string action is constructed from IIB matrices, a spacetime commutator is essential in this construction. This hints at the central role of the spacetime uncertainty relation in a unified formulation of strings. Vertex operators of fundamental strings are also discussed.

We address two fundamental issues in the physics of the quantum Hall effect: a unified description of scaling behavior of conductances in the integral and fractional regimes, and a quasi-particle formulation of the chiral Luttinger Liquids that describe the dynamics of edge excitations in the fractional regime.

We present new insights on the relations between a recently introduced probabilistic formulation of the content-based retrieval problem and standard solutions. New experimental results are presented, providing evidence that probabilistic retrieval has superior performance. Finally, a unified representation for texture and color is introduced.

Noting that quantum measurements are in general incomplete, we develop, starting from a recent entropic formulation of uncertainty, a mazimum uncertainty principle to define the statistical mechanics of microscopic systems. The resulting ensemble entropy coincides with the expression of von Neumann, thus providing a unified, quantum basis for statistical physics of all systems. Examples involvi...