632 research outputs found
Argument filterings and usable rules in higher-order rewrite systems
The static dependency pair method is a method for proving the termination of
higher-order rewrite systems a la Nipkow. It combines the dependency pair
method introduced for first-order rewrite systems with the notion of strong
computability introduced for typed lambda-calculi. Argument filterings and
usable rules are two important methods of the dependency pair framework used by
current state-of-the-art first-order automated termination provers. In this
paper, we extend the class of higher-order systems on which the static
dependency pair method can be applied. Then, we extend argument filterings and
usable rules to higher-order rewriting, hence providing the basis for a
powerful automated termination prover for higher-order rewrite systems
FE2 evaluation of stress triaxiality / lode angle dependencies of void growing processes
This document provides information and instructions for preparing a Full Paper to be included in the Proceedings of COMPLAS 2019 Conference
Character n-gram Embeddings to Improve RNN Language Models
This paper proposes a novel Recurrent Neural Network (RNN) language model
that takes advantage of character information. We focus on character n-grams
based on research in the field of word embedding construction (Wieting et al.
2016). Our proposed method constructs word embeddings from character n-gram
embeddings and combines them with ordinary word embeddings. We demonstrate that
the proposed method achieves the best perplexities on the language modeling
datasets: Penn Treebank, WikiText-2, and WikiText-103. Moreover, we conduct
experiments on application tasks: machine translation and headline generation.
The experimental results indicate that our proposed method also positively
affects these tasks.Comment: AAAI 2019 pape
XAFS and IR Studies on Luminescent Silver Zeolites
In this chapter, studies of structures and optical properties of Ag-zeolite A by means of X-ray absorption fine structure (XAFS) and infrared (IR) spectra are presented. XAFS is a powerful tool to study the local structure of Ag nanoclusters in the zeolite cavity and IR spectra are quite sensitive to the change in zeolite lattice affected by the production of Ag clusters. First, we focus on the creation of Ag clusters in zeolite A by heat treatment under atmosphere and vacuum. Second, we discuss the mechanism of photoluminescence for Ag-zeolite composite. It is widely believed that the emitting point is Ag clusters in the Ag zeolite; on the other hand, our recent result is contradicted that Ag clusters are broken down in the strongly emitting species
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