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Group: ReadingLab - with tag learning [116 articles]

Недавние статьи, отправленные по почте членами ReadingLab группы with tag learning
  • Limitations on Reliability: Regularity Rules in the English Plural and Past Tense
    Child Development, Vol. 79, No. 3. (2008), pp. 750-760.
    by Vikram K Jaswal, David A Mckercher, Mieke Vanderborght
    posted to theory_of_mind rule learning language_acquisition language english by garyfeng to the group ReadingLab on 2008-05-17 04:44:19 as **
  • The 28th Bartlett Memorial Lecture. Causal learning: an associative analysis.
    Q J Exp Psychol B, Vol. 54, No. 1. (February 2001), pp. 3-25.
    posted to behavior causality learning modeling by garyfeng to the group ReadingLab on 2008-02-12 21:36:33 as **
  • The Bayesian revolution approaches psychological development
    Developmental Science, Vol. 10, No. 3. (May 2007), pp. 357-364.
    posted to bayesian learning review by garyfeng to the group ReadingLab on 2008-02-12 21:30:33 as read along with 1 person josephgentet
  • Sensitivity to sampling in Bayesian word learning
    Developmental Science, Vol. 10, No. 3. (May 2007), pp. 288-297.
    posted to bayesian infant learning word_processing by garyfeng to the group ReadingLab on 2008-02-12 21:27:08 as **** along with 1 person xuxg
  • Bayesian networks, Bayesian learning and cognitive development
    Developmental Science, Vol. 10, No. 3. (May 2007), pp. 281-287.
    posted to bayesian child development learning review by garyfeng to the group ReadingLab on 2008-02-12 21:25:30 as ***** along with 1 person bibay2004
  • Bayes nets and babies: infants developing statistical reasoning abilities and their representation of causal knowledge
    Developmental Science, Vol. 10, No. 3. (May 2007), pp. 298-306.
    posted to bayesian development infant learning statistical_learning by garyfeng to the group ReadingLab on 2008-02-12 21:21:56 as *****
  • Preschool children learn about causal structure from conditional interventions
    Developmental Science, Vol. 10, No. 3. (May 2007), pp. 322-332.
  • A theory of causal learning in children: causal maps and Bayes nets.
    Psychol Rev, Vol. 111, No. 1. (January 2004), pp. 3-32.
    by A Gopnik, C Glymour, DM Sobel, LE Schulz, T Kushnir, D Danks
  • Using domain-general principles to explain children's causal reasoning abilities
    Developmental Science, Vol. 10, No. 3. (May 2007), pp. 333-356.
    posted to causality child development learning reasoning by garyfeng to the group ReadingLab on 2008-02-12 21:14:34 as *****
  • Flexibility and variability: Essential to human cognition and the study of human cognition.
    New Ideas in Psychology (in press)
    by E Colunga, LB Smith
  • Defusing the Childhood Vocabulary Explosion
    Science, Vol. 317, No. 5838. (3 August 2007), 631.
    by Bob Mcmurray
  • Subtle Linguistic Cues Affect Children's Motivation
    Psychological Science, Vol. 18, No. 4. (2007), pp. 314-316.
    by Andrei Cimpian, Holly-Marie C Arce, Ellen M Markman, Carol S Dweck
    posted to motivation learning language child by garyfeng to the group ReadingLab on 2007-05-10 14:59:42 as ***** along with 1 person and 1 group cmunson MACLab
  • Rule learning by cotton-top tamarins
    pp. 15-22.
    by MD Hauser
  • Lexical competition in young children's word learning
    Cognitive Psychology, Vol. 54, No. 2. (March 2007), pp. 99-132.
    by Daniel Swingley, Richard N Aslin
  • Lexical configuration and lexical engagement: When adults learn new words
    Cognitive Psychology, Vol. In Press, Corrected Proof
    by Laura Leach, Arthur G Samuel
  • Theories of Artificial Grammar Learning
    Psychological Bulletin, Vol. 133, No. 2. (March 2007), pp. 227-244.
    by Emmanuel M Pothos
  • Learning the higher-order structure of a natural sound
    Network: Computation in Neural Systems, Vol. 7 (February 1996), pp. 261-266.
    by AJ Bell, TJ Sejnowski
    posted to modeling learning ica bayesian by garyfeng to the group ReadingLab on 2007-04-06 16:25:53 as ***** along with 1 person bayesian
  • Reinforcement learning signals predict future decisions.
    J Neurosci, Vol. 27, No. 2. (10 January 2007), pp. 371-378.
    by MX Cohen, C Ranganath
  • The Development of Embodied Cognition: Six Lessons from Babies
    Artificial Life, Vol. 11 (2005), pp. 13-29.
    by Linda Smith, Michael Gasser
  • The Rebirth of Children's Learning
    Child Development, Vol. 71, No. 1. (2000), pp. 26-35.
    by Robert S Siegler
  • Continuous processing in word recognition at 24 months
    Cognition, Vol. 71, No. 2. (22 June 1999), pp. 73-108.
    by Daniel Swingley, John P Pinto, Anne Fernald
  • When Half a Word Is Enough: Infants Can Recognize Spoken Words Using Partial Phonetic Information
    Child Development, Vol. 72, No. 4. (2001), pp. 1003-1015.
    by Anne Fernald, Daniel Swingley, John P Pinto
  • Spoken word recognition and lexical representation in very young children
    Cognition, Vol. 76, No. 2. (14 August 2000), pp. 147-166.
    by Daniel Swingley, Richard N Aslin
  • Phonetic detail in the developing lexicon.
    Language and Speech, Vol. 42, No. 2-3. (2003), pp. 265-294.
  • Phonetic diversity, statistical learning, and acquisition of phonology.
    Language and Speech, Vol. 46, No. 2-3. (2003), pp. 115-154.
  • Learning new words: phonotactic probability in language development.
    Journal of speech, language, and hearing research, Vol. 44 (2001), pp. 1321-1337.
    by HL Storkel
  • Learning to predict by the methods of temporal differences
    Machine Learning, Vol. V3, No. 1. (1988), pp. 9-44.
    by Richard S Sutton
    posted to ai algorithm learning reinforcement_learning by garyfeng to the group ReadingLab on 2006-12-18 18:44:38 as read
  • Brain Structure Predicts the Learning of Foreign Speech Sounds.
    Cereb Cortex (7 April 2006)
    by Narly Golestani, Nicolas Molko, Stanislas Dehaene, Denis Lebihan, Christophe Pallier
    posted to brain l2 language learning by garyfeng to the group ReadingLab on 2006-12-14 14:29:31 as ***** along with 2 people gcrost MichaelGaebler
  • The Process of Recurrent Choice
    Psychological Review, Vol. 100, No. 2. (April 1993), pp. 320-341.
    by D Davis, J Staddon, A Machado, R Palmer
    posted to learning reinforcement_learning review by garyfeng to the group ReadingLab on 2006-12-13 14:54:17 as ***** along with 1 person brian
  • Dopamine, learning and motivation
    Nat Rev Neurosci, Vol. 5, No. 6. (June 2004), pp. 483-494.
    by Roy A Wise
  • A re-examination of probability matching and rational choice
    Journal of Behavioral Decision Making, Vol. 15, No. 3. (18 March 2002), pp. 233-250.
    by David R Shanks, Richard J Tunney, John D Mccarthy
    posted to learning probability reinforcement_learning by garyfeng to the group ReadingLab on 2006-12-13 14:52:37 as ***** along with 3 people brian dep nelmor
  • A unified model for perceptual learning
    Trends in Cognitive Sciences, Vol. In Press, Corrected Proof
    by Aaron Seitz, Takeo Watanabe
  • A more biologically plausible learning rule for neural networks.
    Proc Natl Acad Sci U S A, Vol. 88, No. 10. (15 May 1991), pp. 4433-4437.
    by P Mazzoni, RA Andersen, MI Jordan
  • Learning in spiking neural networks by reinforcement of stochastic synaptic transmission.
    Neuron, Vol. 40, No. 6. (18 December 2003), pp. 1063-1073.
    by HS Seung
  • Computational models of the basal ganglia
    Movement Disorders, Vol. 15, No. 5. (2000), pp. 762-770.
    by Andrew Gillies, Gordon Arbuthnott
    posted to ganglia learning reinforcement_learning by garyfeng to the group ReadingLab on 2006-12-13 14:48:45 as ***** along with 2 people gane5h awooga
  • Simple statistical gradient-following algorithms for connectionist reinforcement learning
    Machine Learning, Vol. V8, No. 3. (1 May 1992), pp. 229-256.
    by Ronald J Williams
  • TD models of reward predictive responses in dopamine neurons
    Neural Networks, Vol. 15, No. 4-6. ( 2002), pp. 523-533.
    by Roland E Suri
    posted to dopamine learning neuron reinforcement_learning by garyfeng to the group ReadingLab on 2006-12-13 14:48:14 as ***** along with 1 person awooga
  • Getting formal with dopamine and reward.
    Neuron, Vol. 36, No. 2. (10 October 2002), pp. 241-263.
    by W Schultz
  • Motivational views of reinforcement: implications for understanding the behavioral functions of nucleus accumbens dopamine.
    Behav Brain Res, Vol. 137, No. 1-2. (2 December 2002), pp. 3-25.
    by JD Salamone, M Correa
  • 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
  • The Impact of Non-verbal Communication on Lexicon Formation
    by Paul Vogt
  • Reinforcement Learning for Problems with Hidden State
    by Samuel W Hasinoff
  • Reinforcement learning in continuous time and space.
    Neural Computation, Vol. 12, No. 1. (January 2000), pp. 219-245.
    by K Doya
    posted to learning modeling reinforcement_learning by garyfeng to the group ReadingLab on 2006-12-13 14:43:24 as ***** along with 2 people mura psimen
  • On adaptation, maximization, and reinforcement learning among cognitive strategies.
    Psychological Review, Vol. 112, No. 4. (October 2005), pp. 912-931.
    by I Erev, G Barron
    posted to learning psychology reinforcement_learning by garyfeng to the group ReadingLab on 2006-12-13 14:43:15 as ***** along with 1 person psimen
  • Signal detection by human observers: a cutoff reinforcement learning model of categorization decisions under uncertainty.
    Psychological Review, Vol. 105, No. 2. (April 1998), pp. 280-298.
    by I Erev
    posted to learning reinforcement_learning signal_detection by garyfeng to the group ReadingLab on 2006-12-13 14:43:07 as ***** along with 1 person psimen
  • A Bayesian Framework for Reinforcement Learning
    (2000), pp. 943-950.
    by Malcolm Strens
  • Reinforcement Learning: A Survey
    Journal of Artificial Intelligence Research, Vol. 4 (1996), pp. 237-285.
    by Leslie P Kaelbling, Michael L Littman, Andrew P Moore
    posted to learning reinforcement_learning review by garyfeng to the group ReadingLab on 2006-12-13 14:41:00 as ***** along with 3 people ddahlem jzniu todd007
  • Reinforcement Learning: An Introduction (Adaptive Computation and Machine Learning)
    (01 March 1998)
    by Richard S Sutton, Andrew G Barto
  • Reinforcement Learning I: An Introduction
    (1998)
    by RS Sutton, AG Barto
  • From recurrent choice to skill learning: a reinforcement-learning model.
    J Exp Psychol Gen, Vol. 135, No. 2. (May 2006), pp. 184-206.
    by WT Fu, JR Anderson
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