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Adaptive anomaly detection with evolving connectionist systems

Yihua Liao, V. Rao Vemuri, Alejandro Pasos
<span title="">2007</span> <i title="Elsevier BV"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/zpj7dqnpznduhha4bqzx3te2um" style="color: black;">Journal of Network and Computer Applications</a> </i> &nbsp;
In this paper, a new adaptive anomaly detection framework, based on the use of unsupervised evolving connectionist systems, is proposed to address these issues.  ...  The evolving connectionist systems learn a subject's behavior in an online, adaptive fashion through efficient local element tuning.  ...  Acknowledgments The authors wish to thank Dr. Tom Goldring of NSA for providing us the Windows NT user profiling data set.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1016/j.jnca.2005.08.005">doi:10.1016/j.jnca.2005.08.005</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/4woc5j3ssbat7gksaa7mqpldhe">fatcat:4woc5j3ssbat7gksaa7mqpldhe</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20100727084101/http://techlab.bu.edu/files/resources/articles_tt/Adaptive%20anomaly%20detection%20with%20evolving%20connectionist%20systems.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/9f/c4/9fc441548b981316d9f42cfd27051a09b819dab7.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1016/j.jnca.2005.08.005"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> elsevier.com </button> </a>

Page 930 of Psychological Abstracts Vol. 80, Issue 2 [page]

<span title="">1993</span> <i title="American Psychological Association"> <a target="_blank" rel="noopener" href="https://archive.org/details/pub_psychological-abstracts" style="color: black;">Psychological Abstracts </a> </i> &nbsp;
: A connectionist approach to the acquisition of phonological rules - Chan- Do Lee and Michael Gasser Symbolic parsing via subsymbolic rules - Stan C. Kwasny and Kannaan A.  ...  —Application of a simple variable frame rate analysis to an airborne reconnaissance mission (ARM) system, a continuous speech recognition system based on phone-level hid- den Markov models, is described  ... 
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APPROACHES TO GROUNDING SYMBOLS IN PERCEPTUAL AND SENSORIMOTOR CATEGORIES [chapter]

ANGELO CANGELOSI
<span title="">2005</span> <i title="Elsevier"> Handbook of Categorization in Cognitive Science </i> &nbsp;
Two main modeling approaches to the symbol grounding are presented: (i) the connectionist approach, based on artificial neural networks for category learning and naming tasks, and (ii) the embodied modeling  ...  approach, based on adaptive agent simulations and cognitive robots.  ...  The embodied approach to cognitive symbol grounding is mostly based on adaptive agent and robotic models.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1016/b978-008044612-7/50087-1">doi:10.1016/b978-008044612-7/50087-1</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/eo26232zzvd3dlwdkbmlcbvlma">fatcat:eo26232zzvd3dlwdkbmlcbvlma</a> </span>
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Text Recognition in Videos Using a Recurrent Connectionist Approach [chapter]

Khaoula Elagouni, Christophe Garcia, Franck Mamalet, Pascale Sébillot
<span title="">2012</span> <i title="Springer Berlin Heidelberg"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/2w3awgokqne6te4nvlofavy5a4" style="color: black;">Lecture Notes in Computer Science</a> </i> &nbsp;
In this paper, we propose a novel approach able to avoid any explicit character segmentation.  ...  Obtained representations are then used to feed a connectionist recurrent model specifically designed to take into account dependencies between successive learnt features and to recognize texts.  ...  In this paper, we adapt this idea of absence of segmentation step to the task of video text recognition, and propose an OCR scheme that relies on a connectionist temporal approach; a second contribution  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1007/978-3-642-33266-1_22">doi:10.1007/978-3-642-33266-1_22</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/rpysgkg3lfa7lcmbnyn46noi6y">fatcat:rpysgkg3lfa7lcmbnyn46noi6y</a> </span>
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A connectionist approach for similarity assessment in case-based reasoning systems

Kalyan Moy Gupta, Ali Reza Montazemi
<span title="">1997</span> <i title="Elsevier BV"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/md2ierut4nak5ociupgnvel2oa" style="color: black;">Decision Support Systems</a> </i> &nbsp;
To overcome this limitation, we propose a distributed connectionist-symbolic architecture that adapts to the preferences of a decision maker and that, additionally, ameliorates the limitations of symbolic  ...  To ameliorate these deficiencies connectionist systems have been proposed. However, these systems are limited in their ability to adapt and grow.  ...  Acknowledgements The authors would like to extend their appreciation to the employees of Westinghouse Canada Inc. for their help and cooperation in this research, and three anonymous reviewers for their  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1016/s0167-9236(96)00063-2">doi:10.1016/s0167-9236(96)00063-2</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/gkcbic2zyjhd5b7ocuqbjely5e">fatcat:gkcbic2zyjhd5b7ocuqbjely5e</a> </span>
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Page 1307 of Linguistics and Language Behavior Abstracts: LLBA Vol. 26, Issue 3 [page]

<span title="">1992</span> <i > <a target="_blank" rel="noopener" href="https://archive.org/details/pub_linguistics-and-language-behavior-abstracts-llba" style="color: black;">Linguistics and Language Behavior Abstracts: LLBA </a> </i> &nbsp;
The natural output decision is associated with a confidence factor, providing a low rate of misclassification.  ...  (Science & Technology IBM Is- rael Ltd, Technion City Haifa Israel), Learning Automata from Or- dered Examples, Chpt in CONNECTIONIST APPROACHES TO LANGUAGE LEARNING, Touretzky, David (Ed), Norwell, MA  ... 
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Connectionist language modeling for large vocabulary continuous speech recognition

Holger Schwenk, Jean-Luc Gauvain
<span title="">2002</span> <i title="IEEE"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/rc5jnc4ldvhs3dswicq5wk3vsq" style="color: black;">IEEE International Conference on Acoustics Speech and Signal Processing</a> </i> &nbsp;
rate.  ...  This paper describes ongoing work on a new approach for language modeling for large vocabulary continuous speech recognition.  ...  The authors would like to thank Yoshua Bengio from the University of Montréal.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/icassp.2002.5743830">doi:10.1109/icassp.2002.5743830</a> <a target="_blank" rel="external noopener" href="https://dblp.org/rec/conf/icassp/SchwenkG02.html">dblp:conf/icassp/SchwenkG02</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/pjmzpemhizeazoi5atfubxtjqy">fatcat:pjmzpemhizeazoi5atfubxtjqy</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20170808092225/http://ssli.ee.washington.edu/courses/ee517sp07/papers/schwenk02.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/e4/14/e41498c05d4c68e4750fb84a380317a112d97b01.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/icassp.2002.5743830"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> ieee.com </button> </a>

Connectionist language modeling for large vocabulary continuous speech recognition

Schwenk, Gauvain
<span title="">2002</span> <i title="IEEE"> IEEE International Conference on Acoustics Speech and Signal Processing </i> &nbsp;
rate.  ...  This paper describes ongoing work on a new approach for language modeling for large vocabulary continuous speech recognition.  ...  The authors would like to thank Yoshua Bengio from the University of Montréal.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/icassp.2002.1005852">doi:10.1109/icassp.2002.1005852</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/3afe3ulfunalvl76iwffqdaxci">fatcat:3afe3ulfunalvl76iwffqdaxci</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20170808092225/http://ssli.ee.washington.edu/courses/ee517sp07/papers/schwenk02.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/e4/14/e41498c05d4c68e4750fb84a380317a112d97b01.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/icassp.2002.1005852"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> ieee.com </button> </a>

Connectionist approaches to language learning

Gert Westermann, Nicolas Ruh, Kim Plunkett
<span title="">2009</span> <i title="Walter de Gruyter GmbH"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/2c2o6ds7zzarvio5ew7dyvboe4" style="color: black;">Linguistics</a> </i> &nbsp;
In the past twenty years the connectionist approach to language development and learning has emerged as an alternative to traditional linguistic theories.  ...  Two main benefits of the connectionist approach are highlighted: implemented models o¤er a high degree of specificity for a particular theory, and the explicit integration of a learning process into theory  ...  This is because a frequently occurring stimulus will lead to more weight Connectionist approaches to language learning 419 Brought to you by | Oxford Brookes University (Oxford Brookes Universit adaptation  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1515/ling.2009.015">doi:10.1515/ling.2009.015</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/7xaranylo5ct3ke4ylaxm6rmym">fatcat:7xaranylo5ct3ke4ylaxm6rmym</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20190428105613/https://radar.brookes.ac.uk/radar/file/e9a31790-85bb-3420-4b15-32bf526aa59f/1/Westermann2009connectionist.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/34/c4/34c4dfde4b80dc29461ac0b8789fb6f5c287f46d.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1515/ling.2009.015"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> degruyter.com </button> </a>

Implementation and Evaluation of Evolutionary Connectionist Approaches to Automated Text Summarization

Kulkarni
<span title="2010-11-01">2010</span> <i title="Science Publications"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/wake4w3hqzd4ndiy2zowpciv64" style="color: black;">Journal of Computer Science</a> </i> &nbsp;
As Text summarization application requires learning ability based on activation, we utilize ANN attribute through a connectionist model to achieve the best results.  ...  Third system under consideration was based on a combination of evolutionary, fuzzy and connectionist techniques.  ...  ACKNOWLEDGMENT This project is in process of funding to be granted by Board of College and Universities Development BCUD under University of Pune.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.3844/jcssp.2010.1366.1376">doi:10.3844/jcssp.2010.1366.1376</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/o4wdtgmhozfwvc7s4f4ncaxx4e">fatcat:o4wdtgmhozfwvc7s4f4ncaxx4e</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20170829193532/http://thescipub.com/PDF/jcssp.2010.1366.1376.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/6b/83/6b8355b6a1ff96e38b026773d262fdfd5494afcd.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.3844/jcssp.2010.1366.1376"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> Publisher / doi.org </button> </a>

Using situational awareness for adaptive decision making in agent-based simulation

Okan Topcu
<span title="">2017</span> <i title="IEEE"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/7n2gtrr2tzevzonkaymviwxhsa" style="color: black;">2017 Winter Simulation Conference (WSC)</a> </i> &nbsp;
Therefore, the result of the decision making process is mostly related to the agent's situational awareness and its adaptation to the new context and situation of the environment.  ...  Specifically, an existing adaptive decision making architecture, which is based on the deliberative coherence theory, is adopted to be driven by situational awareness.  ...  If the error rate between the actual and the desired response is larger than a predefined error rate, then the error is back propagated. Thus the weights are re-adjusted to lower the error.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/wsc.2017.8247873">doi:10.1109/wsc.2017.8247873</a> <a target="_blank" rel="external noopener" href="https://dblp.org/rec/conf/wsc/Topcu17.html">dblp:conf/wsc/Topcu17</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/rkhr4am2izfkzphg6evogz5bq4">fatcat:rkhr4am2izfkzphg6evogz5bq4</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20190226021035/http://pdfs.semanticscholar.org/6af7/623517cd682599182e075e587ec852a60096.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/6a/f7/6af7623517cd682599182e075e587ec852a60096.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/wsc.2017.8247873"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> ieee.com </button> </a>

Symbolic-Connectionist Representational Model for Optimizing Decision Making Behavior in Intelligent Systems

R. John Martin, Sujatha Sujatha
<span title="2018-02-01">2018</span> <i title="Institute of Advanced Engineering and Science"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/sdt65w3c4jeojd2d4wr6rbkebe" style="color: black;">International Journal of Electrical and Computer Engineering (IJECE)</a> </i> &nbsp;
As a continous effort, a Connectionist Cognitive Model (CCN) had been evolved by bringing a traditional symbolic cognitive process model proposed by LIDA as an inspiration to a feed forward neural network  ...  Our work was aimed at proposing an enhanced connectionist approach of optimizing the decisions within the framework of a symbolic cognitive model.  ...  This will be a motivation for the prospective researchers to approach the new dimention of cognitive model building.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.11591/ijece.v8i1.pp326-332">doi:10.11591/ijece.v8i1.pp326-332</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/csf5bksljzhztjn4r6zgnsk4we">fatcat:csf5bksljzhztjn4r6zgnsk4we</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20180721153127/http://iaescore.com/journals/index.php/IJECE/article/download/10608/8116" 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/37/5a/375a29c2e2f3ad28a10668354ce2f37418c5d543.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.11591/ijece.v8i1.pp326-332"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> Publisher / doi.org </button> </a>

Hermitian Polynomial for Speaker Adaptation of Connectionist Speech Recognition Systems

Sabato Marco Siniscalchi, Jinyu Li, Chin-Hui Lee
<span title="">2013</span> <i title="Institute of Electrical and Electronics Engineers (IEEE)"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/zcz4ey2iwffxtgaodtf5jtebmy" style="color: black;">IEEE Transactions on Audio, Speech, and Language Processing</a> </i> &nbsp;
In this paper, a novel solution is proposed to overcome those limits and make it robust to scarce adaptation resources.  ...  Adapting hybrid HMM/ANN systems on a small amount of adaptation data has been proven to be a difficult task, and has been a limiting factor in the widespread deployment of hybrid techniques in operational  ...  CONNECTIONIST ASR SYSTEMS WITH HERMITIAN-BASED ANNS It is instructive to briefly review the statistical pattern matching approach to ASR and highlight the key components of a conventional ASR system before  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/tasl.2013.2270370">doi:10.1109/tasl.2013.2270370</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/zzhdgh74hzaq7cuvggcr2gcktq">fatcat:zzhdgh74hzaq7cuvggcr2gcktq</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20200322130545/https://www.microsoft.com/en-us/research/wp-content/uploads/2013/01/tsalpANNadapt.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/ed/e9/ede904a07adb8889b926b26ad39bff2cec89e75b.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/tasl.2013.2270370"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> ieee.com </button> </a>

How Do Children Learn to Segment Continuous Speech?: Models of Lexical Segmentation and Recognition
幼児は親の発話をどのように分節化するのか:比較・照合アルゴリズムに基づく音素系列の分節化と再認のモデル

Shogo Makioka
<span title="">2005</span> <i title="Japanese Neural Network Society"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/nrjlvwuhyfg4hmafccjrv4we5q" style="color: black;">The Brain &amp; Neural Networks</a> </i> &nbsp;
Two models are presented for generating a representation of words from the input phoneme sequences.  ...  They use an unsupervised learning algorithm that compares the input with its internal representation and generates a new representation of each subsequence.  ...  Quinlan (Ed.), Connectionist approaches to developmental psychology, Psychology Press, Hove, UK 16) Hebb, D.O. (1949): The Organization of Behavior, New York, Wiley 17) O'Reilly, R.C., Soto, R. (2002):  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.3902/jnns.12.174">doi:10.3902/jnns.12.174</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/nnnebmwghvh65cwoiqqw4os4dy">fatcat:nnnebmwghvh65cwoiqqw4os4dy</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20181102001230/https://www.jstage.jst.go.jp/article/jnns/12/3/12_3_174/_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/91/89/918932447841614883e36ba32171f3a7b618ef5f.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.3902/jnns.12.174"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> Publisher / doi.org </button> </a>

When more observations are better than less: a connectionist account of the acquisition of causal strength

Frank Van Overwalle, Dirk Van Rooy
<span title="">2001</span> <i title="Wiley"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/ej2kjq2qwfhvdk7nicmp4ilxuq" style="color: black;">European Journal of Social Psychology</a> </i> &nbsp;
Cheng & Novick, 1990; Fo Èrsterling, 1992) predict no effect of sample size, adaptive connectionist models (McClelland & Rumelhart, 1988) predict that subjects will incrementally adjust causal ratings  ...  The statistical law of large numbers prescribes that estimates are more reliable and accurate when based on a larger sample of observations.  ...  We are grateful to B. Timmermans for his comments on an earlier version of the manuscript and to I. Ponjaert for allowing us to use her subject pool.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1002/ejsp.29">doi:10.1002/ejsp.29</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/kul2tslpknaoxatyhemmu3mxde">fatcat:kul2tslpknaoxatyhemmu3mxde</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20100307232159/http://www.vub.ac.be:80/EXTO/Publications/pubacq.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/91/a0/91a0e22079cf9ae87099218ca1bfd420489b1042.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1002/ejsp.29"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> wiley.com </button> </a>
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