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Learning to Schedule Webpage Updates Using Genetic Programming [chapter]

Aécio S. R. Santos, Nivio Ziviani, Jussara Almeida, Cristiano R. Carvalho, Edleno Silva de Moura, Altigran Soares da Silva
2013 Lecture Notes in Computer Science  
We propose a flexible framework that uses Genetic Programming to evolve score functions to estimate the likelihood that a web page has been modified.  ...  In this work we present a novel approach that uses machine learning to generate score functions that produce accurate rankings of pages regarding their probability of being modified on the Web when compared  ...  Finally, we present basic concepts of Genetic Programming (Section 2.5), which is the machine learning technique we use to build the scheduling functions in this work.  ... 
doi:10.1007/978-3-319-02432-5_30 fatcat:u3orbx63yvdkjjqwdqzovuxrie

A content and quality evaluation of ACGME-accredited reproductive endocrinology and infertility fellowship program webpages

Alexandra Peyser, Baruch Abittan, Christine Mullin, Randi H Goldman
2021 Journal of Assisted Reproduction and Genetics  
To analyze the content of websites of ACGME-accredited REI fellowship programs in the USA and to determine whether there are differences in content across geographic regions.  ...  An informative and well-constructed website has the potential to improve perception of a graduate program.  ...  of the most effective means for applicants to learn about programs [6] .  ... 
doi:10.1007/s10815-021-02073-9 pmid:33459965 fatcat:4wjf5wib2vepdnezsfakfcsa2a

Change Detection and Notification of Webpages: A Survey [article]

Vijini Mallawaarachchi, Lakmal Meegahapola, Roshan Alwis, Eranga Nimalarathna, Dulani Meedeniya, Sampath Jayarathna
2019 arXiv   pre-print
Hence, people find it useful to be alert for changes in webpages which contain information valuable to them.  ...  Majority of the currently available webpages are dynamic in nature and are changing frequently. New content gets added to webpages and existing content gets updated or deleted.  ...  Evolutionary programming techniques such as genetic programming [100] can be used to solve this issue by facilitating schedulers to rank webpages according to how likely they are being modified.  ... 
arXiv:1901.02660v3 fatcat:wrioarjnbvdlxki5tfl26bqqd4

The Development Of Online-Class Scheduling Management System Conducted By The Case Study Of Department Of Social Science: Faculty Of Humanities And Social Sciences Suan Sunandha Rajabhat University

Wipada Chaiwchan, Patcharee Klinhom
2014 Zenodo  
In addition to the number of courses, the number of students and a timetable to study, the physical characteristics of each class room and regulations used in the class scheduling must also be taken into  ...  This system is developed to assist management in the class scheduling for convenience and efficiency. It can provide several instructors to schedule simultaneously.  ...  For Department of Social Sciences, lecturers have used this concept to develop a timetable online as it benefits students and lecturers to schedule and to learn easily and quickly including the use of  ... 
doi:10.5281/zenodo.1096677 fatcat:c66axpopkrgdfb3hscgjpn64fq

Statistical techniques for online personalized advertising

Maad Shatnawi, Nader Mohamed
2012 Proceedings of the 27th Annual ACM Symposium on Applied Computing - SAC '12  
Online Advertisement systems use web mining and machine learning techniques to personalize advertisement selection to a particular user based on certain features such as his browsing behavior or demographic  ...  Displaying advertisements that match user interests will not only lead to user satisfaction, but it will also maximize the revenues of both advertisers and web publishers.  ...  [23] proposed a framework based on Genetic Programming (GP) to associate ads with the contents of web pages.  ... 
doi:10.1145/2245276.2245406 dblp:conf/sac/ShatnawiM12 fatcat:d5dwrezjqrcpfjn6xzoxx3ljoe

Detection of Malicious Web Pages Using Machine Learning Technique

2020 International Journal of Advanced Trends in Computer Science and Engineering  
This trust score will be used to decide a trusted webpage, should give accuracy of not less than 98.9% and a reasonable feature measure.  ...  This work detects such malicious URLs using a built machine learning which we implemented to organize Uniform Resource Locator (URL) into two categories -trustworthy and untrusted.  ...  The system is still a conventional i.e using a parameter to determine malicious webpage link.  ... 
doi:10.30534/ijatcse/2020/243952020 fatcat:qpgmch6qwnewppr27j7kvjuuey

Nonintrusive Load-Shed Verification

David Bergman, Dong Jin, Joshua Juen, Naoki Tanaka, Carl Gunter, Andrew Wright
2011 IEEE pervasive computing  
This method enables several communication options, including public webpage messages (such as RSS feeds), An approach in which residential power meters monitor electricity use and analyze load enables  ...  We can simplify this problem by using unidirectional authentication of control messages from the ESP to the appliance.  ...  To identify appliances, we implemented an algorithm based on genetic algorithms and dynamic programming that builds FSMs from edge-event clusters. 6, 7 When to Learn The learning schedule consists of  ... 
doi:10.1109/mprv.2010.71 fatcat:te72pvxzwvd7zagugmmek7mmpu

Navigating the changing learning landscape: perspective from

M. D. Brazas, B. F. F. Ouellette
2013 Briefings in Bioinformatics  
With the advent of YouTube channels in bioinformatics, open platforms for problem solving in bioinformatics, active web forums in computing analyses and online resources for learning to code or use a bioinformatics  ...  Yet such face-to-face instruction is still invaluable in the learning continuum.  ...  Acknowledgements and the CBWs would like to acknowledge the dedicated faculty ( who develop the learning materials for the CBW workshops, and who freely  ... 
doi:10.1093/bib/bbt016 pmid:23515468 pmcid:PMC3771234 fatcat:k3g4nwrv4va4fpylhr72goloie

Predictive Analysis based Efficient Routing of Smart Garbage Bins for Effective Waste Management

2019 International journal of recent technology and engineering  
A dedicated webpage is assigned to monitor the collected garbage bin sensor data continuously.  ...  To automate the garbage collection, the bins use a smart integrated sensing system.  ...  Driver will use a mobile app to update the pickup status of the bin and also have a provision to update if any bins needed manual service. a .  ... 
doi:10.35940/ijrte.b2600.098319 fatcat:3shrp72h6vgqdjsiu27kz7szfy

Machine learning‐based scheduling: a bibliometric perspective

Shiyun Li, Tianzong Yu, Xu Cao, Zhi Pei, Wenchao Yi, Yong Chen, Ruifeng Lv
2021 IET Collaborative Intelligent Manufacturing  
To reveal the value of machine learning-based scheduling methods, bibliometric analysis was conducted to analyse the relevant articles and documents from the year 1980 to 2019.  ...  In the literature, the research methods employed in solving scheduling problems are based on various perspectives, such as mathematical programming, combinatorial optimization, and heuristic rules.  ...  , it is vital to capture a high-fidelity pattern to trace the malfunctions of the factory floor, and then make adjustments to update the scheduling strategy through machine learning on the dataset collected  ... 
doi:10.1049/cim2.12004 fatcat:me4ubiknxbdgliyvpggoctj5pu

Learning to schedule job-shop problems: representation and policy learning using graph neural network and reinforcement learning

Junyoung Park, Jaehyeong Chun, Sang Hun Kim, Youngkook Kim, Jinkyoo Park
2021 International Journal of Production Research  
We propose a framework to learn to schedule a job-shop problem (JSSP) using a graph neural network (GNN) and reinforcement learning (RL).  ...  the optimum scheduling policy that maps the embedded node features to the best scheduling action (policy learning).  ...  As an extension of PDR, the composite dispatching rules (CDR) has been investigated for solving dynamic JSSP. the CDR whose parameters (the weight of dispatching rules) are optimized with genetic programming  ... 
doi:10.1080/00207543.2020.1870013 fatcat:znmzhkwdm5byzhz7gr5o3gdk4u

Extrapolated Biogeography-Based Optimization (eBBO) for Global Numerical Optimization and Microstrip Patch Antenna Design

M. R. Lohokare, S.S. Pattnaik, S. Devi, B.K. Panigrahi, S. Das, J. G. Joshi
2010 International Journal of Applied Evolutionary Computation  
Biogeography-Based Optimization (BBO) uses the idea of probabilistically sharing features between solu- tions based on the solutions' fitness values.  ...  To validate the performance of eBBO, experiments have been conducted on 23 standard benchmark problems with a range of dimensions and diverse complexities and compared with original BBO and other versions  ...  . document, which may be purchased using the "Add to Cart" button on the publisher's webpage: combines the exploitation  ... 
doi:10.4018/jaec.2010070101 fatcat:xybvekcg4vbdvfz6olstsazdra

Establishing a framework for building multidisciplinary programs

Cheryl Meguid, Carrie Ryan, Barish Edil, Richard Schulick, Csaba Gajdos, Megan Boniface, Tracey Schefter, W Purcell, Martin McCarter
2015 Journal of Multidisciplinary Healthcare  
We present a reproducible framework to be used as a guide to develop a successful multidisciplinary program.  ...  While most providers support the concept of a multidisciplinary approach to patient care, challenges exist to the implementation of successful multidisciplinary clinical programs.  ...  Author contributions All authors contributed toward data analysis, drafting and critically revising the paper and agree to be accountable for all aspects of the work.  ... 
doi:10.2147/jmdh.s96415 pmid:26664132 pmcid:PMC4671763 fatcat:6gkzufmhifhz3fdxdpia5emz7e

AACP 2014-2015 Council of Sections Final Report, July 2015

2015 American Journal of Pharmaceutical Education  
Identify resources needed and other updates/changes needed to this webpage to improve resources available to Section members. Deliverable 1: Provide updates in interim reports as noted below.  ...  The additional year will be used to update the existing strategic plan for the future.  ...  learning experience?)  ... 
doi:10.5688/ajpe7910s25 fatcat:je4ths2gnjdp3eyvcihhepzdyi

Hardware Design of Smart Home Energy Management System With Dynamic Price Response

Qinran Hu, Fangxing Li
2013 IEEE Transactions on Smart Grid  
Further, SHEMS is designed with sensors to detect human activities and then a machine learning algorithm is applied to intelligently help consumers reduce total payment on electricity without or with little  ...  This paper presents a hardware design of smart home energy management system (SHEMS) with the applications of communication, sensing technology, and machine learning algorithm.  ...  Also, this work made use of Engineering Research Center (ERC) Shared Facilities supported by the CURENT Industry Partnership Program and the CURENT Industry Partnership Program.  ... 
doi:10.1109/tsg.2013.2258181 fatcat:xdp6usggkfc6vly4gtcwiszlva
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