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The dynamics of interdisciplinary research fields: the case of river research
2014
Scientometrics
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focus on results relevant for societal challenges -such as river science. ...
Approaches to cross-disciplinary research Cross-disciplinary research (CDR) is attracting a lot of attention, as it is expected to produce more often societal relevant and scholarly innovative outcomes ...
for providing valuable comments on earlier drafts. ...
doi:10.1007/s11192-014-1286-7
fatcat:przma7txnzcmlpzsjo7dkmcajq
Pairwise meta-rules for better meta-learning-based algorithm ranking
2013
Machine Learning
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Our experimental results are based on a large collection of datasets and show that the proposed new techniques can improve the overall performance of meta-learning for algorithm ranking significantly. ...
In this paper, we present a novel meta-feature generation method in the context of meta-learning, which is based on rules that compare the performance of individual base learners in a one-against-one manner ...
The work by [36] has discussed cross-disciplinary perspectives on meta-learning. ...
doi:10.1007/s10994-013-5387-y
fatcat:hg6koubn3zdzjm5uqqjuavbjji
Data science
2017
Communications of the ACM
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We focus on the research and innovation challenges inspired by the nature of data science problems as complex systems, and the methodologies for handling such systems. ...
In reviewing hundreds of pieces of literature which include data science in their titles, we find that the majority of the discussions essentially concern statistics, data mining, machine learning, big ...
New non-IID learning theories, algorithms and models: This is to create new theories, algorithms and models for analyzing, learning, and mining non-IID data by considering value-to-object couplings and ...
doi:10.1145/3015456
fatcat:67rgituyxzehfc5yvcmukhvbqa
Towards a Capabilities Taxonomy for Prognostics and Health Management
2020
International Journal of Prognostics and Health Management
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Preliminary results of the development of Analytics, Test and Experiment Design and Cost Benefit Studies sub-domains within the PHM field are reported based on workshops at the PHM 2012 and 2013 Annual ...
This taxonomy is a set of descriptors for each skill for a chosen range of competency levels: entry, working and mastery. ...
Ability to work cross
domain with Machine
Learning
or
Engineering/physical
approaches
Machine
Learning
Ability to implement
and apply algorithms. ...
doi:10.36001/ijphm.2014.v5i1.2201
fatcat:3r4md4pi5je5la3qqovlzn76va
Page 1171 of The Journal of the Operational Research Society Vol. 59, Issue 9
[page]
2008
The Journal of the Operational Research Society
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The Internet Archive has digitized a microfilm copy of this work. It may be possible to borrow a copy for reading.
Cross-disciplinary perspectives on meta- learning for algorithm selection. ACM Comput Surveys 40, forthcoming.
forecasting. J ...
C45: Programs for Machine Learning. Morgan Kaufmann Publishers: San Mateo, CA.
Reid DJ (1972). A comparison of forecasting techniques on economic time series. ...
Inaugural issue perspectives on Information and Learning Sciences as an integral scholarly Nexus
2019
Information and Learning Science
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They also include search engines, social media platforms, video-sharing platforms, and knowledge sharing environments deployed for work, leisure, inquiry, and personal and professional productivity. ...
Such platforms include e-learning systems which have learning, education and/or training as explicit goals or objectives. ...
little of this work seems to cross disciplinary boundaries. ...
doi:10.1108/ils-01-2019-138
fatcat:nxdu6mihyjc2bhu3dd7pctlv5q
Introduction to Agent Mining Interaction and Integration
[chapter]
2009
Data Mining and Multi-agent Integration
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However, as a new open area, there are many issues waiting for research and development from theoretical, technological and practical perspectives. 4 Longbing Cao Agents primarily focus on issues from ...
We summarize the main driving forces, complementary essence, disciplinary framework, applications, case studies, and trends and directions, as well as brief observation on agent-driven data mining, data ...
A cross-disciplinary and multi-dimensional study roadmap is clear. ...
doi:10.1007/978-1-4419-0522-2_1
fatcat:4d4cx7wmvzgejnegoujwhrhs4u
Grounding Artificial Intelligence in the Origins of Human Behavior
[article]
2020
arXiv
pre-print
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Recent advances in Artificial Intelligence (AI) have revived the quest for agents able to acquire an open-ended repertoire of skills. ...
In this paper, we propose a framework highlighting the role of environmental complexity in open-ended skill acquisition, grounded in major hypotheses from HBE and recent contributions in Reinforcement learning ...
DISCUSSION Our proposal is but a preliminary step towards realizing the potential of a cross-disciplinary dialogue between the HBE and RL communities, a glimpse of which has already been offered by recent ...
arXiv:2012.08564v2
fatcat:rsrwj4o5zvgpfni32olncjvaiq
Application of Machine Learning Methods on Patient Reported Outcome Measurements for Predicting Outcomes: A Literature Review
2021
Informatics
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We conduct a literature review with the aim of summarising the existing methodologies that apply machine learning methods on patient-reported outcome measures datasets for predicting clinical outcomes ...
We identify 15 articles published within the last decade that employ machine learning methods at various stages of exploiting datasets consisting of patient-reported outcome measures for predicting clinical ...
[27] employed no separate feature selection but relied on the implicit feature selection ability of the algorithms used. ...
doi:10.3390/informatics8030056
fatcat:4lxv6u4gtvhprpkbvv7hhzryf4
On Computational Thinking and STEM Education
2020
Journal for STEM Education Research
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In this editorial, we first examine relevant publications in computational thinking to identify a trend of integrating computational thinking into disciplinary education. ...
Given the multi-faceted nature of computational thinking, which goes beyond programming and computer science, however, approaches and practices for developing students' computational thinking are not always ...
Barth-Cohen, Morgane Chevalier, and Pratim Sengupta for their valuable feedback on an earlier version of this editorial. ...
doi:10.1007/s41979-020-00044-w
fatcat:z6dygkq3rjds3pttrhkqb2qdve
Towards a consolidation of worldwide journal rankings – A classification using random forests and aggregate rating via data envelopment analysis
2015
Omega : The International Journal of Management Science
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The question of how to assess research outputs published in journals is now a global concern for academics. ...
Numerous journal ratings and rankings exist, some featuring perceptual and peer-reviewbased journal ranks, some focusing on objective information related to citations, some using a combination of the two ...
This provides a broad and cross-disciplinary coverage. The 10 ranking lists selected for aggregation by means of DEA (Section 6) are labeled 'target lists', as shown in Table 2 . ...
doi:10.1016/j.omega.2014.08.002
fatcat:ha5psjsnbbaf3bik6uhywy5rvu
Towards a Consolidation of Worldwide Journal Rankings A Classification Using Random Forests and Aggregate Rating via Data Envelopment Analysis
2014
Social Science Research Network
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The question of how to assess research outputs published in journals is now a global concern for academics. ...
Numerous journal ratings and rankings exist, some featuring perceptual and peer-reviewbased journal ranks, some focusing on objective information related to citations, some using a combination of the two ...
This provides a broad and cross-disciplinary coverage. The 10 ranking lists selected for aggregation by means of DEA (Section 6) are labeled 'target lists', as shown in Table 2 . ...
doi:10.2139/ssrn.2492472
fatcat:lqqcomlx55geleahaen7vadnri
Interdisciplinary optimism? Sentiment analysis of Twitter data
2019
Royal Society Open Science
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Interdisciplinary research has faced many challenges, including institutional, cultural and practical ones, while it has also been reported as a 'career risk' and even 'career suicide' for researchers ...
on the social media platform Twitter. ...
All seven different algorithms were applied to the training set with 10-fold cross-validation, which is a standard approach in machine learning [36] . ...
doi:10.1098/rsos.190473
pmid:31417745
pmcid:PMC6689644
fatcat:tfbm6fyx5befholw3ijb2527qy
Characteristics of the Project-Based Teamwork in the Case of Developing a Smart Application in a Digital Educational Environment
2020
European Journal of Contemporary Education
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The purpose of the study is to provide a theoretical foundation for and experimentally verify the effectiveness of involving students in project teamwork on designing smart applications by means of modern ...
The study is aimed at solving a problem generated by the necessity to change the organizational forms of digital learning to prepare graduates who meet the requirements of today's labor market; who are ...
The research is funded by the grant of the Russian Science Foundation (project № 18-78-10053 "Scientific substantiation of the algorithm for applying the technology of the opportunity map in robotics course ...
doi:10.13187/ejced.2020.2.417
fatcat:5s6ec6z4kbgxrjc35eycw6rigm
A Systematic Review: Using Habits of Mind to Improve Student's thinking in Class
2017
Higher Education Studies
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The application of a systematic review and a meta-analysis approach allows investigating the selected habits of mind and comparing them to the externally verified critical thinking skills using a multiple ...
This review article aims to explore how habits of mind as the concept defined under the recent Framework for Success in Postsecondary Writing contributes to the development of critical thinking in the ...
Sampling Validity The primary outcome measure selected to display and validate the scores for the selected habits was borrowed from the methodological approach used by Kleinsteuber (2014) as the study ...
doi:10.5539/hes.v8n1p25
fatcat:zm7kewk5jjeaplhtnsjy3osjty
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