Titlebook: Artificial Intelligence; Second CAAI Internat Lu Fang,Daniel Povey,Ruiping Wang Conference proceedings 2022 The Editor(s) (if applicable) a

的是兄弟

SportsStore: A RESTful Applicationoral intent. Nowadays, the Product Recommendation Page (PRP) has played an increasingly significant role of e-commerce platforms with the popularity of recommendation systems. However, past research on predicting user behavioral intent across e-commerce platforms may not be applicable to PRPs, where

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Implementation of the Expert System, variety of deep-neural-network (DNN) methods have been proposed to solve the problem, they are energy-consuming and computationally consuming, which limits their on-board deployments. In this work, we proposed a kind of diffractive-deep-neural-network-based optical satellite controller, and transfo

宿醉

Implementation of the CACSD Package,ribution. Unfortunately, the recognition task for incomplete cigarette code often suffers from lowered recognition accuracy and the destruction of semantic context due to complex backgrounds and damaged characters. This paper proposes an end-to-end recognition network for incomplete cigarette code t

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Introduction to the?Cassandra Query Languageis attracting much attention in the sequential recommendation realm. Many RL models have shown promising results on sequential recommendation; however, these methods have two major issues. First, they always apply the conventional exponential decaying summation for return calculation in the recommen

Bricklayer

Backup, Recovery, and Moving Dataing a serious threat to the operation of platforms. Traditional anti-fraud strategies are no longer applicable as they analyzed fraudulent behaviors individually and only rely on static statistical characteristics. In this paper, we propose a novel graph-based fraud detection framework deployed on J

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Apache Cassandra: An Introductionocessing can be achieved, however, the product will further springback. Due to the complex structure of BMT and the high cost of dataset acquisition, the existing methods based on mechanism research and machine learning cannot meet the engineering requirements of springback prediction. Based on the

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Introduction to the?Cassandra Query Languageual labour. However, the SIs may suffer quality degradations in the procedure of acquisition, compression, and transmission, which makes IVSS hard to understand the content of SIs. In this paper, we first conduct an example experiment (i.e. the face detection task) to demonstrate that the quality of

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