Titlebook: Database Systems for Advanced Applications. DASFAA 2021 International Workshops; BDQM, GDMA, MLDLDSA, Christian S. Jensen,Ee-Peng Lim,Chih-

向宇宙

Andrea Maffia,Maria Alessandra Mariottint spatial data. We develop a framework for querying similar trajectories inconsistent spatial data. For any given entity, our method will provide a way to query its similar trajectories in the inconsistent spatial data. We propose a dynamic programming algorithm and a threshold filter for probabili

Concerto

Chris Hamnett,Menno Maas,Jan van Weesepd biological networks. Most of the existing methods for processing such queries can only deal with directed acyclic graphs (DAGs). However, cycles are ubiquitous in lots of real-world graphs. Furthermore, they may require unacceptable indexing space or expensive online search time when the input gra

jet-lag

土坯

Racism and International Migration always complete due to the ambiguity of the user’s intentions. Unfortunately, there is very little research on this issue. In this paper, we present an embedding-based approach to completing question semantics by inspiring from knowledge graph completion based on our proposed representation of a co

BRAWL

冬眠

A. J. W. Goldschmidt,U. W. Tunntisements according to user interests to increase users’ click-through rate based on user clicks. The performance of CTR models plays a crucial role in advertising. Recently, there are many approaches to improving the performance of CTR. In this paper, we present a survey to analyze state-of-art mod

Incorruptible

Embryology of the Nose and Paranasal Sinusesn the attention mechanism. The attention-based sampling is designed to reduce the search space of rule extraction and thus to improve efficiency of rule learning for a given target predicate. An implementation ARL (Attention-based Rule Learner) of rule learning for KGs is obtained by combining the n

偏见

Contemporary Rhinology: Science and Practiceoduce fuzzy textures and distorted structures due to ignoring the semantic relevance and feature continuity of the holes region. To address this challenge, we propose a detailed depth generation model (GS-Net) equipped with a Multi-Scale Gated Holes Feature Inpainting module (MG) and a Patch-wise Sp

EVICT

两种语言

The Concept of the Modern School text classification becomes increasingly important for the information security domain. In this paper, we propose a new text classification structure based on the BERT model. Firstly, the BERT model is used to generate the text sentence vector, and then we construct the similarity matrix by calcula