Search Results - Theory of computation Theory and algorithms for application domains Machine learning theory

Integrating Optimization and Modern Machine Learning: Theory, Computation, and Healthcare Applications by Carballo, Kimberly M. Villalobos

“… Optimization has significantly enhanced traditional machine learning models by refining their training methods, and machine learning has improved many optimization algorithms by enabling better…”
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Private Linear Computation: Algorithms, Performance Limits, and Applications to Machine Learning by Heidarzadeh, Anoosheh, Sprintson, Alex

“…This article surveys Private Computation, a foundational framework for achieving privacy across a broad range of applications…”
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A study on residence error of training an extreme learning machine and its application to evolutionary algorithms : Bridging Machine learning and Evolutionary Computation (BMLEC) by FU, Ai-Min, WANG, Xi-Zhao, HE, Yu-Lin, WANG, Lai-Sheng

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Twin Graph-Based Anomaly Detection via Attentive Multi-Modal Learning for Microservice System by Huang, Jun, Yang, Yang, Yu, Hang, Li, Jianguo, Zheng, Xiao

“…Microservice architecture has sprung up over recent years for managing enterprise applications, due to its ability to independently deploy and scale services…”
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Performance evaluation and application of computation based low-cost homogeneous machine learning model algorithm for image classification by Huang, W H

“…The image classification machine learning model was trained with the intention to predict the category of the input image…”
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Structured Learning with Parsimony in Measurements and Computations: Theory, Algorithms, and Applications by Li, Xingguo

“…In modern “Big Data” applications, structured learning is the most widely employed methodology…”
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Holistic Design towards Resource-Stringent Binary Vector Symbolic Architecture by Duan, Shijin, Narkthong, Nuntipat, Luo, Yukui, Ren, Shaolei, Xu, Xiaolin

“… Binary Vector Symbolic Architecture (VSA) is a promising approach due to its minimal memory requirements and fast execution times compared to traditional machine learning (ML) methods…”
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Quorum: Zero-Training Unsupervised Anomaly Detection using Quantum Autoencoders by Ludmir, Jason Zev, Rebello, Sophia, Ruiz, Jacob, Patel, Tirthak

“… Quantum computing has recently emerged as a powerful tool for tackling several machine learning tasks, but training quantum machine learning models remains challenging, particularly due…”
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Review of Immunotherapy Classification: Application Domains, Datasets, Algorithms and Software Tools from Machine Learning Perspective by Mahmoud, Ahsanullah Yunas, Neagu, Daniel, Scrimieri, Daniele, Ahmed Abdullatif, Amr Rashad

“…: application domains e.g. warts, datasets e.g. immunotherapy, classifiers or algorithms e.g. kNN and software tools…”
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Fast Machine Learning Algorithms for Massive Datasets with Applications in the Biomedical Domain by Sadrfaridpour, Ehsan

“… In this dissertation, we cover the machine learning algorithms and applications in large-scale data analysis in manufacturing and healthcare…”
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Application of machine learning algorithms in the domain of financial engineering by Liu, Xiang, Salem, Sultan, Bian, Lijun, Seong, Jin-Taek, Alshanbari, Huda M.

“…Financial engineering is crucial for effectively combining finance with quantitative approaches. This study aims to forecast the performance of the Nasdaq…”
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Scalable Community Detection Using Quantum Hamiltonian Descent and QUBO Formulation by Cheng, Jinglei, Zhou, Ruilin, Gan, Yuhang, Qian, Chen, Liu, Junyu

“…We present a quantum-inspired algorithm that utilizes Quantum Hamiltonian Descent (QHD…”
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MAGIKA: AI-Powered Content-Type Detection by Fratantonio, Yanick, Invernizzi, Luca, Farah, Loua, Thomas, Kurt, Zhang, Marina, Albertini, Ange, Galilee, Francois, Metitieri, Giancarlo, Cretin, Julien, Petit-Bianco, Alex, Tao, David, Bursztein, Elie

“…, and a variety of security applications. In this paper, we introduce Magika, a novel AI-powered content-type detection tool…”
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Robin: A Novel Method to Produce Robust Interpreters for Deep Learning-Based Code Classifiers by Li, Zhen, Zhang, Ruqian, Zou, Deqing, Wang, Ning, Li, Yating, Xu, Shouhuai, Chen, Chen, Jin, Hai

“…Deep learning has been widely used in source code classification tasks, such as code classification according to their functionalities, code authorship attribution, and vulnerability detection…”
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IFHE: Intermediate-Feature Heterogeneity Enhancement for Image Synthesis in Data-Free Knowledge Distillation by Chen, Yi, Liu, Ning, Ren, Ao, Yang, Tao, Liu, Duo

“…Data-free knowledge distillation (DFKD) explores training a compact student network only by a pre-trained teacher without real data. Prevailing DFKD methods…”
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A Multiple Representation Transformer with Optimized Abstract Syntax Tree for Efficient Code Clone Detection by Yu, Tianchen, Yuan, Li, Lin, Liannan, He, Hongkui

“…Over the past decade, the application of deep learning in code clone detection has produced remarkable results…”
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Extreme learning machine: algorithm, theory and applications by Ding, Shifei, Zhao, Han, Zhang, Yanan, Xu, Xinzheng, Nie, Ru

“…Extreme learning machine (ELM) is a new learning algorithm for the single hidden layer feedforward neural networks…”
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SLIM: a Scalable and Interpretable Light-weight Fault Localization Algorithm for Imbalanced Data in Microservice by Ren, Rui, Yang, Jingbang, Yang, Linxiao, Gu, Xinyue, Sun, Liang

“…) approach to select rules iteratively, maximizing a non-monotone submodular lower bound. Compared with existing fault localization algorithms, our algorithm can adapt…”
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ADAMAS: Adaptive Domain-Aware Performance Anomaly Detection in Cloud Service Systems by Gu, Wenwei, Gu, Jiazhen, Liu, Jinyang, Chen, Zhuangbin, Zhang, Jianping, Kuang, Jinxi, Feng, Cong, Yang, Yongqiang, Lyu, Michael R.

“…A common practice in the reliability engineering of cloud services involves the collection of monitoring metrics, followed by comprehensive analysis to…”
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Famos: Fault Diagnosis for Microservice Systems Through Effective Multi-Modal Data Fusion by Duan, Chiming, Yang, Yong, Jia, Tong, Liu, Guiyang, Liu, Jinbu, Zhang, Huxing, Zhou, Qi, Li, Ying, Huang, Gang

“…Accurately diagnosing the fault that causes the failure is crucial for maintaining the reliability of a microservice system after a failure occurs. Mainstream…”
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