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Integration of Bricolage and Institutional Entrepreneurship for Internet Finance
This article describes how current research on the institutional entrepreneurship process tends to ‘design principles.' There is lack of research on mechanism and strategy of the institutional bricolage, especially for Internet...
Research on Intelligent Medical Engineering Analysis and Decision Based on Deep Learning
With the increasing amount of medical data and the high dimensional and diversified complex information, based on artificial intelligence and machine learning, a new way is provided that is multi-source, heterogeneous, high...
Bioinformatics and Machine Learning-Based Screening of Key Genes in Alzheimer's Disease
Objective To provide theoretical support for the study of AD pathogenesis and therapeutic targets. Methods The AD data were downloaded from the GEO database for differential expression analysis to obtain DEGs, followed by...
Intolerancia en Tiempos de Crisis: Hacia una Literatura Transgresora en El sitio de los sitios de Juan Goytisolo
Oscar Ivan Useche
Jan 01, 0001
Este artículo propone entender la novela de Goytisolo como una respuesta cultural a la crisis de los modelos de racionalidad occidental. Se estudian las dinámicas de descomposición social de la globalización y la aparición...
Published by: Ursinus College
Parts of Speech Tagging: Rule-Based
Bao Pham
Jan 01, 0001
Parts of speech (POS) tagging is the process of assigning a word in a text as corresponding to a part of speech based on its definition and its relationship with adjacent and related words in a phrase, sentence, or paragraph....
Information Hiding Model Based on Channel Construction of Orthogonal Basis
Bao Kangsheng
May 01, 2021
Secret information communication model based on channel construction of orthogonal basis can implement secret information hiding and recovery without a key. The orthogonal basis is constructed by the media carrier's...
A Deterministic Gradient-Based Approach to Avoid Saddle Points
Loss functions with a large number of saddle points are one of the major obstacles for training modern machine learning models efficiently. First-order methods such as gradient descent are usually the methods of choice for...
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Bilateral Matching Decision-Making Method Considering Regret Avoidance in Second-Hand Transactions
Rui Wang, Juan Liang
Jan 01, 2023
Effective methods of bilateral matching decision-making could make the second-hand transaction market and platforms more dynamic and healthier for development. However, the loss of description about the characteristics of...
General intelligence disentangled via a generality metric for natural and artificial intelligence.
Success in all sorts of situations is the most classical interpretation of general intelligence. Under limited resources, however, the capability of an agent must necessarily be limited too, and generality needs to be understood...
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A Deterministic Gradient-Based Approach to Avoid Saddle Points
Loss functions with a large number of saddle points are one of the major obstacles for training modern machine learning models efficiently. First-order methods such as gradient descent are usually the methods of choice for...
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Enhancing Community E-Commerce Repurchase Prediction Through Information Entropy Analysis
Juan Du, Wenkuan Chen
Jan 01, 2024
In this study, we delve into the prediction and recommendation algorithm for user repurchase behavior within the community e-commerce landscape, leveraging the framework of information entropy. By analyzing consumer behavior...
Analysis of Cloud Bursting on Openstack Infrastructure to AWS
Cloud computing is the development of distributed and parallel computing that seeks to provide a new model of business computing by automating services and efficiently storing proprietary data. Cloud bursting is one of the cloud...
FPGA Memory Optimization in High-Level Synthesis
High-level synthesis (HLS) with FPGA can achieve significant performance improvements through effective memory partitioning and meticulous data reuse. In this chapter, the authors will first explore techniques that have been...
Examining Consumer Purchase Intentions in China Through Entrepreneurial Endorsement and Corporate Social Responsibility Marketing
Juan Du, Fei Huang
Jan 01, 2024
This article explores the synergistic relationship between corporate social responsibility initiatives and marketing strategies within enterprises, highlighting their innovative development. Grounded in stakeholder theory, the...
OVERCONFIDENCE and REAL ESTATE RESEARCH
HXH Bao, SH Li
Mar 03, 2016
Real estate investment has recently been advancing rapidly in both volume and complexity. A sound understanding of behavioral issues in this sector benefits all stakeholders, such as investors, regulators and local residents. We...
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