Because Chinese language has many unique characteristics, this leads to many conventional machine learning approaches of word POS tagging to be unsatisfactory and inefficient when...
We introduce a compressed de Bruijn representation of lambda terms and define its bijections to standard representations. Compact combinatorial generation algorithms are given for...
Abstract. We present an architecture for data semantics discovery capable of extracting semantically-rich content from human-readable files without prior specification of the file ...
Marcello Balduccini, Sarah Kushner, Jacquelin Spec...
Abstract. Obtaining good performance when programming heterogeneous computing platforms poses significant challenges for the programmer. We present a program transformation enviro...
Salvador Tamarit, Guillermo Vigueras, Manuel Carro...
Abstract. In order to handle real-world problems, state-of-the-art probabilistic logic and learning frameworks, such as ProbLog, reduce the expensive inference to an efficient Weig...
Feature code is often scattered across wide parts of the code base. But, scattering is not necessarily bad if used with care—in fact, systems with highly scattered features have...
In this paper we present extensions to an aspect oriented compiler developed for MATLAB. These extensions are intended to support important functionality for scientists, and inclu...