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タグ: connectionist [76 articles]

Recent papers classified by the tag connectionist.
  • Computational cognitive linguistics
    (2004)
    by Jerome A Feldman
    posted to connectionist language nlp usage-based by spinaltap526 on 2008-03-05 19:07:24 as read
  • A Comparison of Classifiers and Document Representations for the Routing Problem
    (1995), pp. 229-237.
    by Hinrich Schütze, David A Hull, Jan O Pedersen
    posted to ann connectionist feedback learning machine relevance routing by pprett on 2007-09-30 19:04:16 as **
  • Adaptive information retrieval: using a connectionist representation to retrieve and learn about documents
    (1989), pp. 11-20.
    by RK Belew
    posted to connectionist ir learning sa by pprett on 2008-03-19 08:41:37 as read along with 1 person rayzhang
  • Using the cosine measure in a neural network for document retrieval
    (1991), pp. 202-210.
    by Ross Wilkinson, Philip Hingston
    posted to ann connectionist learning sa transient vsm by pprett on 2008-03-19 08:58:50 as **
  • A network approach to probabilistic information retrieval
    ACM Trans. Inf. Syst., Vol. 13, No. 3. (July 1995), pp. 324-353.
    by KL Kwok
    posted to connectionist ir probabilistic sa by pprett on 2008-03-19 08:56:02 as read
  • Query modification based on relevance back-propagation in an ad hoc environment
    Information Processing & Management, Vol. 35, No. 2. (March 1999), pp. 121-139.
  • notes Tolerant Information Retrieval with Backpropagation Networks
    Neural Computing & Applications, Vol. 9, No. 4. (20 December 2000), pp. 280-289.
    by T Mandl
    posted to ir connectionist back-propagation ann by pprett on 2008-04-23 10:39:06 as read
  • A connectionist model for information retrieval based on the vector space model
    Int. J. Expert Syst., Vol. 7, No. 2. (1994), pp. 139-163.
    by Carolyn J Crouch, Donald B Crouch, Krishnamohan Nareddy
    posted to connectionist ir model vsm by pprett on 2008-04-21 14:00:50 as read
  • New methods for relevance feedback: improving information retrieval performance
    (1995), pp. 482-487.
    by Paul V Biron, Donald H Kraft
    posted to algorithm connectionist feedback genetic learning relevance by pprett on 2007-11-02 20:47:56 as **
  • Applying connectionist models to information retrieval
    (1997)
    posted to ir connectionist by pprett on 2008-05-26 08:25:26 as **
  • Formal Theory of Connectionist Web Retrieval
    Soft Computing in Web Information Retrieval (2006), pp. 161-194.
    by Sándor Dominich, Adrienn Skrop, Zsolt Tuza
    posted to ann connectionist hits iir ir pagerank search springer web wta by pprett on 2008-04-22 10:16:45 as *
  • A probabilistic learning approach for document indexing
    ACM Trans. Inf. Syst., Vol. 9, No. 3. (July 1991), pp. 223-248.
    by Norbert Fuhr, Chris Buckley
    posted to probabilistic learning ir connectionist by pprett on 2008-05-26 10:48:52 as ** along with 1 person rayzhang
  • Words and rules
    Lingua, Vol. 106, No. 1-4. (December 1998), pp. 219-242.
    by Steven Pinker
  • Tracking the Time Course of Spoken Word Recognition Using Eye Movements: Evidence for Continuous Mapping Models
    Journal of Memory and Language, Vol. 38, No. 4. (May 1998), pp. 419-439.
    by Paul D Allopenna, James S Magnuson, Michael K Tanenhaus
  • Harnessing Nonlinearity: Predicting Chaotic Systems and Saving Energy in Wireless Communication
    Science, Vol. 304, No. 5667. (2 April 2004), pp. 78-80.
    by Herbert Jaeger, Harald Haas
  • Cognitive neuroimaging: Cognitive science out of the armchair
    Brain and Cognition, Vol. 60, No. 3. (April 2006), pp. 272-281.
    by Greig I de Zubicaray
  • Subcategorical mismatches and the time course of lexical access: Evidence for lexical competition
    by D Dahan, JS Magnuson, MK Tanenhaus, EM Hogan
  • Merging information in speech recognition: feedback is never necessary.
    Behav Brain Sci, Vol. 23, No. 3. (June 2000)
    by D Norris, JM McQueen, A Cutler
  • Modeling the Influence of Thematic Fit (and Other Constraints) in On-line Sentence Comprehension
    Journal of Memory and Language, Vol. 38, No. 3. (April 1998), pp. 283-312.
    by Ken Mcrae, Michael J Spivey-Knowlton, Michael K Tanenhaus
  • Computational cognitive neuroscience of early memory development
    Developmental Review, Vol. 24, No. 1. (March 2004), pp. 133-153.
    by Yuko Munakata
  • Age-of-acquisition effects in reading aloud: tests of cumulative frequency and frequency trajectory.
    Mem Cognit, Vol. 32, No. 1. (January 2004), pp. 31-38.
    by JD Zevin, MS Seidenberg
  • Deficits in phonology and past-tense morphology: What’s the connection?
    Journal of Memory and Language, Vol. 48, No. 3. (April 2003), pp. 502-526.
    by Helen Bird, Lambon, Mark S Seidenberg, James L Mcclelland, Karalyn Patterson
  • Lexical effects on compensation for coarticulation: the ghost of Christmash past
    Cognitive Science, Vol. 27, No. 2. ( 2003), pp. 285-298.
    by James S Magnuson, Bob Mcmurray, Michael K Tanenhaus, Richard N Aslin
  • Lexical effects on compensation for coarticulation: a tale of two systems?
    Cognitive Science, Vol. 27, No. 5. ( 2003), pp. 801-805.
    by James S Magnuson, Bob Mcmurray, Michael K Tanenhaus, Richard N Aslin
    posted to cogsci connectionist language modeling phonological spe_perception word_recognition by aufrank to the group ur-cls on 2005-07-29 16:46:56 as read
  • The ghost of Christmas future: didn’t Scrooge learn to be good?: Commentary on Magnuson, McMurray, Tanenhaus, and Aslin (2003)
    Cognitive Science, Vol. 27, No. 5. ( 2003), pp. 795-799.
    by James M Mcqueen
    posted to cogsci connectionist phonological psycholinguistics spe_perception word_recognition by aufrank to the group ur-cls on 2005-07-29 16:44:55 as read
  • Time course of frequency effects in spoken-word recognition: evidence from eye movements.
    Cognit Psychol, Vol. 42, No. 4. (June 2001), pp. 317-367.
    by D Dahan, JS Magnuson, MK Tanenhaus
  • Assessing the distinguishability of models and the informativeness of data.
    Cognit Psychol, Vol. 49, No. 1. (August 2004), pp. 47-84.
    by DJ Navarro, MA Pitt, IJ Myung
    posted to cogsci compsci connectionist modeling by aufrank to the group ur-cls on 2005-07-29 16:32:38 as read
  • Discreteness and interactivity in spoken word production.
    Psychol Rev, Vol. 107, No. 3. (July 2000), pp. 460-499.
    by B Rapp, M Goldrick
  • A connectionist formulation of learning in dynamic decision-making tasks
    (1995)
    by E Gibson, D Plaut
    posted to cogsci connectionist decision_making learning modeling by aufrank to the group ur-cls on 2005-07-27 16:57:22 as **
  • Why there are complementary learning systems in the hippocampus and neocortex: insights from the successes and failures of connectionist models of learning and memory.
    Psychol Rev, Vol. 102, No. 3. (July 1995), pp. 419-457.
  • Should we abandon the theory theory?
    Trends in Cognitive Sciences, Vol. In Press, Corrected Proof
    by Evan Heit
  • Evolution of Communication Using Symbol Combination in Populations of Neural Networks
    by Angelo C Centre
  • Connectionist and diffusion models of reaction time.
    Psychol Rev, Vol. 106, No. 2. (April 1999), pp. 261-300.
    posted to connectionist diffusion modeling psychology rt by garyfeng to the group ReadingLab on 2006-01-10 19:31:53 as *** along with 1 person psimen
  • Becoming Syntactic
    Psychological Review, Vol. 113, No. 2. (April 2006), pp. 234-272.
    by Franklin Chang, Gary S Dell, Kathryn Bock
  • Consciousness: converging insights from connectionist modeling and neuroscience
    Trends in Cognitive Sciences, Vol. 9, No. 8. (August 2005), pp. 397-404.
    by Tiago V Maia, Axel Cleeremans
  • Reducing the Dimensionality of Data with Neural Networks
    Science, Vol. 313, No. 5786. (28 July 2006), pp. 504-507.
  • Connectionist Models of Word Reading
    Current Directions in Psychological Science, Vol. 14, No. 5. (October 2005), pp. 238-242.
    by Mark S Seidenberg
  • Learning words from sights and sounds: a computational model
    Cognitive Science, Vol. 26, No. 1. ( 2002), pp. 113-146.
    by Deb K Roy, Alex P Pentland
  • Story understanding and counterfactual reasoning
    Journal Of Experimental Psychology. Learning, Memory, And Cognition, Vol. 29, No. 5. (September 2003), pp. 904-923.
    by Tom Trabasso, Jake Bartolone
  • Simple recurrent networks can distinguish non-occurring from ungrammatical sentences given appropriate task structure: reply to Marcus
    Cognition, Vol. 73, No. 3. (17 December 1999), pp. 297-300.
    by Douglas L Rohde, David C Plaut
  • Language acquisition in the absence of explicit negative evidence: can simple recurrent networks obviate the need for domain-specific learning devices?
    Cognition, Vol. 73, No. 3. (17 December 1999), pp. 293-296.
    by Gary F Marcus
  • Language acquisition in the absence of explicit negative evidence: how important is starting small?
    Cognition, Vol. 72, No. 1. (25 August 1999), pp. 67-109.
    by Douglas L Rohde, David C Plaut
  • Cognitive penetration of the mechanisms of perception: Compensation for coarticulation of lexically restored phonemes
    Journal of Memory and Language, Vol. 27, No. 2. (April 1988), pp. 143-165.
    by Jeffrey L Elman, James L Mcclelland
  • PatPho: A phonological pattern generator for neural networks
    Behavior Research Methods, Instruments, & Computers, Vol. 34, No. 3. (1 August 2002), pp. 408-415.
    by P Li, B Macwhinney
  • Early lexical development in a self-organizing neural network
    Neural Networks, Vol. 17, No. 8-9. ( 2004), pp. 1345-1362.
    by Ping Li, Igor Farkas, Brian Macwhinney
  • Artificial grammer learning by infants: an auto-associator perspective
    Developmental Science, Vol. 3, No. 4. (November 2000), pp. 442-456.
  • An alternative view of the mental lexicon
    Trends in Cognitive Sciences, Vol. 8, No. 7. (July 2004), pp. 301-306.
    by Jeffrey L Elman
  • Neural network processing of natural language: I. Sensitivity to serial, temporal and abstract structure of language in the infant
    Language and Cognitive Processes, Vol. 15, No. 1. (1 February 2000), pp. 87-127.
    by PF Dominey, F Ramus
  • Learning in Graphical Models (Adaptive Computation and Machine Learning)
    (27 November 1998)
    by M Jordan
  • Learning of sequential movements by neural network model with dopamine-like reinforcement signal.
    Exp Brain Res, Vol. 121, No. 3. (August 1998), pp. 350-354.
    by RE Suri, W Schultz
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