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This study presents a novel approach to addressing offline reinforcement learning (RL) problems by reframing them as regression tasks that can be effectively solved using Decision Trees. Mainly, we introduce two distinct frameworks:…

Machine Learning · Computer Science 2024-10-16 Prajwal Koirala , Cody Fleming

Online customer reviews have become important for managers and executives in the hospitality and catering industry who wish to obtain a comprehensive understanding of their customers' demands and expectations. We propose a Regularized Text…

Machine Learning · Statistics 2020-09-11 Ying Chen , Peng Liu , Chung Piaw Teo

Conventional load-testing tools are based on a fifty-year old time-share computer paradigm where a finite number of users submit requests and respond in a synchronized fashion. Conversely, modern web traffic is essentially asynchronous and…

Performance · Computer Science 2016-09-13 James F. Brady , Neil J. Gunther

Change-plane analysis is a pivotal tool for identifying subgroups within a heterogeneous population, yet it presents challenges when applied to functional data. In this paper, we consider a change-plane model within the framework of…

Methodology · Statistics 2025-03-11 Xin Guan , Yiyuan Li , Xu Liu , Jinhong You

Organizations face a challenge of accurately analyzing network data and providing automated action based on the observed trend. This trend-based analytics is beneficial to minimize the downtime and improve the performance of the network…

Networking and Internet Architecture · Computer Science 2019-04-24 Ankur Jain , Arohi Gupta , Ashutosh Gupta , Dewang Gedia , Leidy Pérez , Levi Perigo , Rahil Gandotra , Sanjay Murthy

The ultimate goal of regression analysis is to obtain information about the conditional distribution of a response given a set of explanatory variables. This goal is, however, seldom achieved because most established regression models only…

Methodology · Statistics 2017-12-13 Torsten Hothorn , Thomas Kneib , Peter Bühlmann

Cost-aware Dynamic Workflow Scheduling (CADWS) is a key challenge in cloud computing, focusing on devising an effective scheduling policy to efficiently schedule dynamically arriving workflow tasks, represented as Directed Acyclic Graphs…

Artificial Intelligence · Computer Science 2025-09-25 Ya Shen , Gang Chen , Hui Ma , Mengjie Zhang

Identifying a causal model of an IT system is fundamental to many branches of systems engineering and operation. Such a model can be used to predict the effects of control actions, optimize operations, diagnose failures, detect intrusions,…

Machine Learning · Computer Science 2025-09-09 Kim Hammar , Rolf Stadler

Web services substitution is one of the most challenging tasks for automating the composition process of multiple Web services. It aims to improve performances and to deal efficiently with Web services failures. Many existing solutions have…

Software Engineering · Computer Science 2013-05-02 Chantal Cherifi

Regression testing ensures a System Under Test (SUT) still works as expected after changes to it. The simplest approach for regression testing consists of re-running the entire test suite against the changed version of the SUT. However,…

Advancement in sequencing technology enables the study of association between complex disorders and rare variants with low minor allele frequencies. One of the major challenges in rare variant testing is lack of statistical power of…

Quantitative Methods · Quantitative Biology 2016-07-27 Rui Sun , Haoyi Weng , Inchi Hu , Junfeng Guo , William K. K. Wu , Benny Chung-Ying Zee , Maggie Haitian Wang

With the rise of online eTextbooks and Massive Open Online Courses (MOOCs), a huge amount of data has been collected related to students' learning. With the careful analysis of this data, educators can gain useful insights into the…

Computers and Society · Computer Science 2022-03-09 Ahmed Abd Elrahman , Taysir Hassan A Soliman , Ahmed I. Taloba , Mohammed F. Farghally

Purpose: This study proposes an adaptive bandwidth management system which can be explicitly used by educational institutions. The primary goal of the system is to increase the bandwidth of the users who access more on educational websites.…

Networking and Internet Architecture · Computer Science 2020-12-24 Rolysent K Paredes , Alexander A. Hernandez

This paper aims to determine how the LMS Web portal application reshapes the learner experience through the developed E-Learning Management System using Data Mining Algorithm. The methodology that the researchers used is descriptive…

Computers and Society · Computer Science 2023-09-25 Cecilia P. Abaricia , Manuel Luis C. Delos Santos

Merging other branches into the current working branch is common in collaborative software development. However, developers still heavily rely on the textual merge tools to handle the complicated merge tasks. The latent semantic merge…

Software Engineering · Computer Science 2020-03-03 Tao Ji , Liqian Chen , Xiaoguang Mao , Xin Yi , Jiahong Jiang

The continuous evolution of software projects necessitates the implementation of changes to enhance performance and reduce defects. This research explores effective strategies for learning and implementing useful changes in software…

Software Engineering · Computer Science 2025-04-18 Kartik Gupta

Making serverless computing widely applicable requires detailed performance understanding. Although contemporary benchmarking approaches exist, they report only coarse results, do not apply distributed tracing, do not consider asynchronous…

Distributed, Parallel, and Cluster Computing · Computer Science 2022-05-17 Joel Scheuner , Simon Eismann , Sacheendra Talluri , Erwin van Eyk , Cristina Abad , Philipp Leitner , Alexandru Iosup

As modern web services increasingly rely on REST APIs, their thorough testing has become crucial. Furthermore, the advent of REST API documentation languages, such as the OpenAPI Specification, has led to the emergence of many black-box…

Software Engineering · Computer Science 2025-01-23 Myeongsoo Kim , Tyler Stennett , Saurabh Sinha , Alessandro Orso

We study the problem of estimating the parameters of a regression model from a set of observations, each consisting of a response and a predictor. The response is assumed to be related to the predictor via a regression model of unknown…

Machine Learning · Statistics 2016-05-19 Carlos Alberto Gomez-Uribe

The process of data analysis, especially in GUI-based analytics systems, is highly exploratory. The user iteratively refines a workflow multiple times before arriving at the final workflow. In such an exploratory setting, it is valuable to…

Distributed, Parallel, and Cluster Computing · Computer Science 2022-08-30 Avinash Kumar , Sadeem Alsudais , Shengquan Ni , Zuozhi Wang , Yicong Huang , Chen Li
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