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Efficient classification of multi-labeled text streams by clashing

Ricardo Ñanculef, Ilias Flaounas, Nello Cristianini
<span title="">2014</span> <i title="Elsevier BV"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/ekjwtd7zwfeipf5aknu4733lzy" style="color: black;">Expert systems with applications</a> </i> &nbsp;
Furthermore, the system is able to learn faster than the other methods from partially labelled streams.  ...  The model obtains competitive F measures with respect to the most accurate methods, using significantly fewer computational resources.  ...  Ricardo Ñanculef was partially funded by the National Commission for Scientific and Technological Research of Chile, Grant Fondecyt 11130122.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1016/j.eswa.2014.02.017">doi:10.1016/j.eswa.2014.02.017</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/c63f7zjotnczxplclfdetvpqem">fatcat:c63f7zjotnczxplclfdetvpqem</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20200912170546/https://arxiv.org/pdf/1604.03200v1.pdf" title="fulltext PDF download [not primary version]" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <span style="color: #f43e3e;">&#10033;</span> <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/1e/f3/1ef35cede15891a68247aae3d851d5a896d96a87.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1016/j.eswa.2014.02.017"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> elsevier.com </button> </a>

Online Machine Learning in Big Data Streams [article]

András A. Benczúr, Levente Kocsis, Róbert Pálovics
<span title="2018-02-16">2018</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
The area of online machine learning in big data streams covers algorithms that are (1) distributed and (2) work from data streams with only a limited possibility to store past data.  ...  In this article, we refer to several survey results, both for distributed data processing and for online machine learning.  ...  In this model, data arrives continuously in a potentially infinite stream that has to be processed by a resource-constrained system.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/1802.05872v1">arXiv:1802.05872v1</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/uhm3vscaebbfho3w2apfq46zse">fatcat:uhm3vscaebbfho3w2apfq46zse</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20200928093932/https://arxiv.org/pdf/1802.05872v1.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/a7/0b/a70ba22645eba9891e8cac8d08e36cc3d09e242b.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/1802.05872v1" title="arxiv.org access"> <button class="ui compact blue labeled icon button serp-button"> <i class="file alternate outline icon"></i> arxiv.org </button> </a>

Mapping the Big Data landscape: Technologies, Platforms and Paradigms for Real-Time Analytics of Data Streams

Timothee Dubuc, Frederic Stahl, Etienne B. Roesch
<span title="">2020</span> <i title="Institute of Electrical and Electronics Engineers (IEEE)"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/q7qi7j4ckfac7ehf3mjbso4hne" style="color: black;">IEEE Access</a> </i> &nbsp;
Due to the emergence of Internet of Things applications within the last decade, the field of Data Mining has been faced with the challenge of processing and analysing data streams in real-time, and under  ...  We conclude with a discussion of the field of data stream processing/analytics, future directions and research challenges.  ...  (also known as concept drift) which data mining algorithms aim to learn.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/access.2020.3046132">doi:10.1109/access.2020.3046132</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/evptdnhmpfahlluemryl5gwouy">fatcat:evptdnhmpfahlluemryl5gwouy</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20210429041909/https://ieeexplore.ieee.org/ielx7/6287639/9312710/09300187.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/4b/23/4b23d5b893078c60e2f574bfbc69c2d046b9e227.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/access.2020.3046132"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> ieee.com </button> </a>

A Very Fast Decision Tree Algorithm for Real-Time Data Mining of Imperfect Data Streams in a Distributed Wireless Sensor Network

Hang Yang, Simon Fong, Guangmin Sun, Raymond Wong
<span title="2012-12-05">2012</span> <i title="SAGE Publications"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/snvb3djywzbhvjtue42hxtjery" style="color: black;">International Journal of Distributed Sensor Networks</a> </i> &nbsp;
This paper proposes a novel stream mining algorithm with a programmable mechanism for handling missing data.  ...  Although many other machine learning techniques have been extensively studied, real-time data mining of high-speed and nonstationary data streams represents one of the most promising WSN solutions.  ...  Acknowledgments The authors are thankful for the financial support from the research grant "Real-time Data Stream Mining," Grant no.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1155/2012/863545">doi:10.1155/2012/863545</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/3jf4gjspjrgxzjd37cqtewfcqu">fatcat:3jf4gjspjrgxzjd37cqtewfcqu</a> </span>
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Sentiment Analysis [chapter]

<span title="">2017</span> <i title="Springer US"> Encyclopedia of Machine Learning and Data Mining </i> &nbsp;
Contrast set mining has been used with retail sales data and for designing customized insurance programs.  ...  rule learning (Liu et al. 1998; Fürnkranz et al. 2012) , as well as contrast set mining (Bay and Pazzani 2001) and emerging pattern mining (Dong and Li 1999) .  ...  It might then be possible to learn, for example, that taking action action234 in state state42 is worth 6. 2 and leads to state state654321.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1007/978-1-4899-7687-1_100512">doi:10.1007/978-1-4899-7687-1_100512</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/ce4yyqo2czftzcx2kbauglh3fu">fatcat:ce4yyqo2czftzcx2kbauglh3fu</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20180726194650/https://link.springer.com/content/pdf/10.1007%2F978-1-4899-7687-1_791.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/10/76/10767b2f6605ce81453d2aa54ccf512af71ead5a.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1007/978-1-4899-7687-1_100512"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> springer.com </button> </a>

Spike-Timing-Dependent Plasticity [chapter]

<span title="">2017</span> <i title="Springer US"> Encyclopedia of Machine Learning and Data Mining </i> &nbsp;
Contrast set mining has been used with retail sales data and for designing customized insurance programs.  ...  rule learning (Liu et al. 1998; Fürnkranz et al. 2012) , as well as contrast set mining (Bay and Pazzani 2001) and emerging pattern mining (Dong and Li 1999) .  ...  It might then be possible to learn, for example, that taking action action234 in state state42 is worth 6. 2 and leads to state state654321.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1007/978-1-4899-7687-1_774">doi:10.1007/978-1-4899-7687-1_774</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/2jprihjaxfbtpb3ttwuuz3u34y">fatcat:2jprihjaxfbtpb3ttwuuz3u34y</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20180726194650/https://link.springer.com/content/pdf/10.1007%2F978-1-4899-7687-1_791.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/10/76/10767b2f6605ce81453d2aa54ccf512af71ead5a.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1007/978-1-4899-7687-1_774"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> springer.com </button> </a>

Open challenges for data stream mining research

Georg Krempl, Myra Spiliopoulou, Jerzy Stefanowski, Indre Žliobaite, Dariusz Brzeziński, Eyke Hüllermeier, Mark Last, Vincent Lemaire, Tino Noack, Ammar Shaker, Sonja Sievi
<span title="2014-09-25">2014</span> <i title="Association for Computing Machinery (ACM)"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/5ptshywu7rdklpcx3m6sfans3e" style="color: black;">SIGKDD Explorations</a> </i> &nbsp;
This article presents a discussion on eight open challenges for data stream mining.  ...  of complex data, and evaluation of stream mining algorithms.  ...  on the challenges in stream mining.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1145/2674026.2674028">doi:10.1145/2674026.2674028</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/y3bozzeohveibgxb5wmiwfcogm">fatcat:y3bozzeohveibgxb5wmiwfcogm</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20170830072737/http://www.kdd.org/exploration_files/16-1-2014.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1145/2674026.2674028"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> acm.org </button> </a>

Human behavioural analysis with self-organizing map for ambient assisted living

Kofi Appiah, Andrew Hunter, Ahmad Lotfi, Christopher Waltham, Patrick Dickinson
<span title="">2014</span> <i title="IEEE"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/udakit3l65dttaf22bvkqynv7a" style="color: black;">2014 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)</a> </i> &nbsp;
The head location of the subject is also estimated by a novel approach capable of running on any resource limited platform with power constraints.  ...  The proposed system runs on an embedded platform with a specialised ceiling-mounted video sensor for intelligent activity monitoring.  ...  Again the behavioural subsystem is based on a neural network with extra parameters in contrast to our previous work [21] . III.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/fuzz-ieee.2014.6891833">doi:10.1109/fuzz-ieee.2014.6891833</a> <a target="_blank" rel="external noopener" href="https://dblp.org/rec/conf/fuzzIEEE/AppiahHLWD14.html">dblp:conf/fuzzIEEE/AppiahHLWD14</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/77tn5aiqdncnjnihjbccmdohki">fatcat:77tn5aiqdncnjnihjbccmdohki</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20180719085004/http://irep.ntu.ac.uk/id/eprint/1493/1/217750_PubSub986_Lotfi.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/c4/8e/c48e34fac893d0c84df593c0c8783a267664b8b7.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/fuzz-ieee.2014.6891833"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> ieee.com </button> </a>

From Data to Actions in Intelligent Transportation Systems: A Prescription of Functional Requirements for Model Actionability

Ibai Laña, Javier J. Sanchez-Medina, Eleni I. Vlahogianni, Javier Del Ser
<span title="2021-02-05">2021</span> <i title="MDPI AG"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/taedaf6aozg7vitz5dpgkojane" style="color: black;">Sensors</a> </i> &nbsp;
This work aims to describe how data, coming from diverse ITS sources, can be used to learn and adapt data-driven models for efficiently operating ITS assets, systems and processes; in other words, for  ...  learning and model evaluation.  ...  For instance, online learning strategies devised to overcome from concept drift in data streams can speed up the learning process after the drift occurs (by e.g., diversity induction in ensembles or active  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.3390/s21041121">doi:10.3390/s21041121</a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pubmed/33562722">pmid:33562722</a> <a target="_blank" rel="external noopener" href="https://pubmed.ncbi.nlm.nih.gov/PMC7914415/">pmcid:PMC7914415</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/yxwd3brs4vh3thnmxrb5rdz2je">fatcat:yxwd3brs4vh3thnmxrb5rdz2je</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20210716135315/http://dsp.tecnalia.com/bitstream/handle/11556/1080/sensors-21-01121-v2.pdf;jsessionid=9A199DBA581B62CD01A6243F64B6FB19?sequence=1" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/39/b6/39b6afcb645ef292f9f338372d00120aebf53bea.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.3390/s21041121"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> mdpi.com </button> </a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7914415" title="pubmed link"> <button class="ui compact blue labeled icon button serp-button"> <i class="file alternate outline icon"></i> pubmed.gov </button> </a>

From Data to Actions in Intelligent Transportation Systems: a Prescription of Functional Requirements for Model Actionability [article]

Ibai Lana, Javier J. Sanchez-Medina, Eleni I. Vlahogianni, Javier Del Ser
<span title="2021-02-08">2021</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
This work aims to describe how data, coming from diverse ITS sources, can be used to learn and adapt data-driven models for efficiently operating ITS assets, systems and processes; in other words, for  ...  learning and model evaluation.  ...  scale, constrained to the size of data, and useful for the experiments, in contrast with large, multi-variate real environments.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2002.02210v3">arXiv:2002.02210v3</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/gz7x36hz6neg5k2ljndsxttb2i">fatcat:gz7x36hz6neg5k2ljndsxttb2i</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20200416024009/https://arxiv.org/pdf/2002.02210v2.pdf" title="fulltext PDF download [not primary version]" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <span style="color: #f43e3e;">&#10033;</span> </button> </a> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2002.02210v3" title="arxiv.org access"> <button class="ui compact blue labeled icon button serp-button"> <i class="file alternate outline icon"></i> arxiv.org </button> </a>

Results from the Robocademy ITN: Autonomy, Disturbance Rejection and Perception for Advanced Marine Robotics [article]

Matias Valdenegro-Toro, Mariela De Lucas Alvarez, Mariia Dmitrieva, Bilal Wehbe, Georgios Salavasidis, Shahab Heshmati-Alamdari, Juan F. Fuentes-Pérez, Veronika Yordanova, Klemen Istenič, Thomas Guerneve
<span title="2019-10-29">2019</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
Marine and Underwater resources are important part of the economy of many countries. This requires significant financial resources into their construction and maintentance.  ...  Most of the fellows have found employment in Europe, which shows the high demand for this kind of experts.  ...  For example Graaltech is using Robocademy research to survey submarine oil wells, and See-Byte will use our 3D reconstruction techniques from sonar.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/1910.13144v1">arXiv:1910.13144v1</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/b4a7k7ewrbasto736pcvgp7qiq">fatcat:b4a7k7ewrbasto736pcvgp7qiq</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20200827134912/https://arxiv.org/pdf/1910.13144v1.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/ff/2c/ff2cb65df182451a7b1981a7d3d119b1ff9afdf9.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/1910.13144v1" title="arxiv.org access"> <button class="ui compact blue labeled icon button serp-button"> <i class="file alternate outline icon"></i> arxiv.org </button> </a>

Learning analytics dashboard: a tool for providing actionable insights to learners

Teo Susnjak, Gomathy Suganya Ramaswami, Anuradha Mathrani
<span title="2022-02-14">2022</span> <i title="Springer Science and Business Media LLC"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/so443uz2vjdljgat7udjbrh52a" style="color: black;">International Journal of Educational Technology in Higher Education</a> </i> &nbsp;
We analyze recent dashboards for their ability to provide actionable insights which promote informed responses by learners in making adjustments to their learning habits.  ...  Our proposed dashboard is the first of its kind in terms of breadth of analytics that it integrates, and is currently deployed for trials at a higher education institution.  ...  The learner's data is contrasted again with that of the cohort.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1186/s41239-021-00313-7">doi:10.1186/s41239-021-00313-7</a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pubmed/35194560">pmid:35194560</a> <a target="_blank" rel="external noopener" href="https://pubmed.ncbi.nlm.nih.gov/PMC8853217/">pmcid:PMC8853217</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/2aka6rxignajlg6r4wtcp2v2ie">fatcat:2aka6rxignajlg6r4wtcp2v2ie</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20220216202848/https://educationaltechnologyjournal.springeropen.com/track/pdf/10.1186/s41239-021-00313-7.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/03/60/0360d2465275b8008385481fd21e936aade8765d.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1186/s41239-021-00313-7"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> springer.com </button> </a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8853217" title="pubmed link"> <button class="ui compact blue labeled icon button serp-button"> <i class="file alternate outline icon"></i> pubmed.gov </button> </a>

Visage: A Face Interpretation Engine for Smartphone Applications [chapter]

Xiaochao Yang, Chuang-Wen You, Hong Lu, Mu Lin, Nicholas D. Lane, Andrew T. Campbell
<span title="">2013</span> <i title="Springer Berlin Heidelberg"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/jajl7qtqc5cy7oavratsldrv2y" style="color: black;">Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering</a> </i> &nbsp;
, and resource limitations.  ...  Visage supports a set of novel sensing, tracking, and machine learning algorithms on the phone, which are specifically designed to deal with challenges presented by user mobility, varying phone contexts  ...  Without motion-based reinitialization, after the phone stops moving, the head pose estimation drifts on all three rotation angles, and the estimation error accumulates over successive movements.  ... 
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Cost-to-Go Function Approximation [chapter]

<span title="">2017</span> <i title="Springer US"> Encyclopedia of Machine Learning and Data Mining </i> &nbsp;
It maintains a set, S , of most specific hypotheses that are consistent with the training data and a set, G, of most general hypotheses consistent with the training data.  ...  Adaptations to the multi-class case are typically performed via class binarization, learning different rule sets for binary problems.  ...  If there are any positive examples in the training set, it calls the subroutine FINDBESTRULE for learning a single rule that Nilsson NJ (1995) Reacting, planning and learning in an autonomous agent.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1007/978-1-4899-7687-1_100093">doi:10.1007/978-1-4899-7687-1_100093</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/vse7ncdqs5atlosjhz7fhlj3im">fatcat:vse7ncdqs5atlosjhz7fhlj3im</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20180730171625/https://link.springer.com/content/pdf/10.1007%2F978-1-4899-7687-1_100093.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/10/b7/10b770019d53c96c6fec8ea1be2619b4403d2f06.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1007/978-1-4899-7687-1_100093"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> springer.com </button> </a>

Foreword of Special Issue on "Nomadic Services and Applications"

Jason C. Hung
<span title="2011-05-04">2011</span> <i title="Academy Publisher"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/drz46fz5hfbfnerxeguotm7kmy" style="color: black;">Journal of Networks</a> </i> &nbsp;
Index Terms—Multiple Data Streams, Data Stream Mining, In the intensive care unit (ICU), for example, medical Sequential Pattern Mining, Incremental Mining devices used on a  ...  Mining techniques for data stream environment have been put forward in Association Rule, Classification and Clustering, as well as sequential pattern mining.  ... 
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