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Tag learning [949 articles]

Recent papers classified by the tag learning.
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  • Do tangible interfaces enhance learning?
    (2007), pp. 163-170.
    by Paul Marshall
  • "Vygotsky's Neglected Legacy": Cultural-Historical Activity Theory
    REVIEW OF EDUCATIONAL RESEARCH, Vol. 77, No. 2. (1 June 2007), pp. 186-232.
    by Wolff-Michael Roth, Yew-Jin Lee
  • The Cerebellum Updates Predictions about the Visual Consequences of One's Behavior
    Current Biology, Vol. 18, No. 11. (3 June 2008), pp. 814-818.
    by Matthis Synofzik, Axel Lindner, Peter Thier
    posted to prediction learning internal_model by zhihui42 on 2008-09-12 20:02:26 as ***
  • Modeling Sensorimotor Learning with Linear Dynamical Systems
    Neural Computation, Vol. 18, No. 4. (April 2006), pp. 760-793.
    by Sen Cheng, Philip N Sabes
  • Reach adaptation: What determines whether we learn an internal model of the tool or adapt the model of our arm?
    J Neurophysiol (2 July 2008), 90334.2008.
    by Joann Kluzik, Joern Diedrichsen, Reza Shadmehr, Amy J Bastian
  • Learning to move amid uncertainty.
    J Neurophysiol, Vol. 86, No. 2. (August 2001), pp. 971-985.
  • Learning to predict the future: the cerebellum adapts feedforward movement control
    Current Opinion in Neurobiology, Vol. 16, No. 6. (December 2006), pp. 645-649.
    by Amy J Bastian
    posted to prediction motor_control learning cerebellum by zhihui42 on 2008-09-10 22:04:45 as **
  • Calibration of Visually Guided Reaching Is Driven by Error-Corrective Learning and Internal Dynamics
    J Neurophysiol, Vol. 97, No. 4. (1 April 2007), pp. 3057-3069.
    by Sen Cheng, Philip N Sabes
    posted to learning motor_control by zhihui42 on 2007-10-23 20:24:23 as *** along with 2 people JohnSchlerf sen_cheng
  • Prediction Precedes Control in Motor Learning
    Current Biology, Vol. 13, No. 2. (21 January 2003), pp. 146-150.
    by Randall J Flanagan, Philipp Vetter, Roland S Johansson, Daniel M Wolpert
    posted to prediction motor_control learning by zhihui42 on 2008-09-08 21:32:07 as ** along with 1 person Cavadini
  • Prediction of external events with our motor system: towards a new framework
    Trends in Cognitive Sciences, Vol. 11, No. 5. (May 2007), pp. 211-218.
    by Ricarda I Schubotz
  • Trial-by-Trial Transformation of Error Into Sensorimotor Adaptation Changes With Environmental Dynamics.
    J Neurophysiol, Vol. 98, No. 3. (September 2007), pp. 1392-1404.
    by MS Fine, KA Thoroughman
    posted to learning motor_control by zhihui42 on 2007-10-23 20:42:25 as *** along with 2 people kcrawlik JohnSchlerf
  • Cerebellum-dependent learning: the role of multiple plasticity mechanisms.
    Annu Rev Neurosci, Vol. 27 (2004), pp. 581-609.
    by ES Boyden, A Katoh, JL Raymond
  • The Loss Function of Sensorimotor Learning
    Proceedings of the National Academy of Sciences of the United States of America, Vol. 101, No. 26. (2004), pp. 9839-9842.
    by Konrad P Körding, Daniel M Wolpert, James L Mcclelland
    posted to learning loss_function motor_control by zhihui42 on 2007-12-11 01:46:05 as ****
  • Trial-by-trial motor adaptation: a window into elemental neural computation.
    Prog Brain Res, Vol. 165 (2007), pp. 373-382.
    by KA Thoroughman, MS Fine, JA Taylor
    posted to learning motor_control by zhihui42 on 2007-10-23 20:42:50 as *** along with 1 person JohnSchlerf
  • What are the computations of the cerebellum, the basal ganglia and the cerebral cortex?
    Neural Networks, Vol. 12, No. 7-8. (11 October 1999), pp. 961-974.
    by K Doya
  • Forward models: Supervised learning with a distal teacher
    Cognitive Science: A Multidisciplinary Journal, Vol. 16, No. 3. (1992), pp. 307-354.
    by Michael I Jordan, David E Rumelhart
    posted to motor_control learning internal_model by zhihui42 on 2008-09-09 19:57:11 as ***
  • Motor learning and prediction in a variable environment
    Current Opinion in Neurobiology, Vol. 13, No. 2. (April 2003), pp. 232-237.
    by Paul R Davidson, Daniel M Wolpert
    posted to predictive_learning prediction learning internal_model by zhihui42 on 2008-09-08 21:47:11 as **
  • Combining Priors and Noisy Visual Cues in a Rapid Pointing Task
    J. Neurosci., Vol. 26, No. 40. (4 October 2006), pp. 10154-10163.
    by Hadley Tassinari, Todd E Hudson, Michael S Landy
  • Bayesian decision theory in sensorimotor control.
    Trends Cogn Sci (24 June 2006)
    by Konrad P P Körding, Daniel M M Wolpert
  • Machine learning for stock selection
    (2007), pp. 1038-1042.
    by Robert J Yan, Charles X Ling
    posted to learning stock by zhengzhong on 2008-03-01 04:47:10 as ** along with 2 people claudiamichelle markstoehr
  • One-Shot Learning of Object Categories
    Pattern Analysis and Machine Intelligence, IEEE Transactions on, Vol. 28, No. 4. (2006), pp. 594-611.
    by Li Fei-Fei, R Fergus, P Perona
    posted to image_classification learning by zeppe on 2007-06-20 17:28:17 as ** along with 2 people drmabuse dcoates
  • Hidden Conditional Random Fields
    Pattern Analysis and Machine Intelligence, IEEE Transactions on, Vol. 29, No. 10. (2007), pp. 1848-1852.
    by Ariadna Quattoni, Sybor Wang, Louis-Philippe Morency, Morency Collins, Trevor Darrell
  • Searching for image information content, its discovery, extraction, and representation
    (2 May 2005)
    by Emanuel Diamant
    posted to hierarchical_model learning machine_learning segmentation by zeppe on 2008-08-08 16:33:28 as **
  • Products of experts
    (1999)
    by G Hinton
  • Discovering objects and their location in images
    Computer Vision, 2005. ICCV 2005. Tenth IEEE International Conference on, Vol. 1 (2005), pp. 370-377.
    by Josef Sivic, Bryan C Russell, Alexei A Efros, Andrew Zisserman, William T Freeman
  • Error bounds for convolutional codes and an asymptotically optimum decoding algorithm
    Information Theory, IEEE Transactions on, Vol. 13, No. 2. (1967), pp. 260-269.
    by A Viterbi
  • Object class recognition by unsupervised scale-invariant learning
    Computer Vision and Pattern Recognition, 2003. Proceedings. 2003 IEEE Computer Society Conference on, Vol. 2 (2003), pp. 264-271.
  • Being Bayesian About Network Structure. A Bayesian Approach to Structure Discovery in Bayesian Networks
    Machine Learning, Vol. 50, No. 1-2. (January 2003), pp. 95-125.
    by Nir Friedman, Daphne Koller
  • A Bayesian Approach to Unsupervised One-Shot Learning of Object Categories
    (2003)
    by Li Fei-Fei, Rob Fergus, Pietro Perona
    posted to image_classification learning by zeppe on 2007-06-20 17:36:19 as ** along with 1 person gyuli
  • From fields to trees
    (2004), pp. 243-250.
    by Firas Hamze, Nando de Freitas
    posted to learning sampling by zeppe on 2008-02-11 11:55:10 as *** along with 2 people ppeeling markusd
  • Training Products of Experts by Minimizing Contrastive Divergence
    Neural Comp., Vol. 14, No. 8. (1 August 2002), pp. 1771-1800.
    by Geoffrey E Hinton
  • Semi-supervised conditional random fields for improved sequence segmentation and labeling
    (2006), pp. 209-216.
    by Feng Jiao, Shaojun Wang, Chi-Hoon Lee, Russell Greiner, Dale Schuurmans
    posted to conditional_random_fields learning semi_supervised by zeppe on 2007-09-26 12:09:36 as **
  • Do Computers Teach Better? A Media Comparison Study for Case-based Teaching in Radiology
    Radiographics, Vol. 21, No. 4. (1 July 2001), pp. 1025-1032.
    by Martin Maleck, Martin R Fischer, Birgit Kammer, Claudius Zeiler, Eugen Mangel, Franz Schenk, Klaus-Juergen Pfeifer
  • Gender differences in an on-line learning environment
    Journal of Computer Assisted Learning, Vol. 15, No. 1. (1999), pp. 48-60.
    by E Barrett, V Lally
    posted to learning gender by Yuancheng on 2008-11-02 18:21:35 as read along with 2 people phlow claudiamichelle
  • An Introduction to Current Trends and Benefits of Mobile Wireless Technology Use in Higher Education
    AACE Journal, Vol. 14, No. 1. (January 2006), pp. 77-100.
    by Sang H Kim, Clif Mims, Kerry P Holmes
    posted to educational learning mobile by yoel on 2008-05-21 05:47:05 as *** along with 1 person jrhode
  • Quiet interfaces that help students think
    (2006), pp. 191-200.
    by Sharon Oviatt, Alex Arthur, Julia Cohen
  • notes Mischief: supporting remote teaching in developing regions
    (2008), pp. 353-362.
    by Neema Moraveji, Taemie Kim, James Ge, Udai S Pawar, Kathleen Mulcahy, Kori Inkpen
  • notes Text Chunking using Regularized Winnow
    (2001), pp. 539-546.
    by Tong Zhang, Fred Damerau, David Johnson
  • A Perspective on State-of-the-art Research on Self-regulated Learning
    Instructional Science, Vol. 33, No. 5-6. (November 2005), pp. 559-565.
    by Philip Winne
  • Where Mathematics Comes From: How the Embodied Mind Brings Mathematics into Being
    (02 August 2001)
    by George Lakoff, Rafael E Núñez
  • The grasshopper: Games, life, and Utopia
    by Bernard H Suits
  • Predicting How People Play Games: Reinforcement Learning in Experimental Games with Unique, Mixed Strategy Equilibria
    The American Economic Review, Vol. 88, No. 4. (1998), pp. 848-881.
    by Ido Erev, Alvin E Roth
  • The Vice: Some Historically Inspired and Proof-Generated Steps to Limits of Sequences
    Educational Studies in Mathematics, Vol. 60, No. 3. (November 2005), pp. 269-295.
    by Bob Burn
  • Introduction Teaching Situations as Object of Research: Empirical Studies within Theoretical Perspectives
    Educational Studies in Mathematics, Vol. 59, No. 1-3. (July 2005), pp. 1-12.
    by Colette Laborde, Marie-Jeanne Perrin-Glorian
  • Promoting students' graphical understanding of the calculus
    Journal of Mathematical Behavior, Vol. 22, No. 4. (2003), pp. 479-495.
    by JS Berry, MA Nyman
  • A semantic explanation and symbolic computation approach for designing mathematical courseware
    Creating, Connecting and Collaborating through Computing, 2005. C5 2005. Third International Conference on (2005), pp. 158-165.
    by Y Shirota
  • Curriculum, Classroom Practices, and Tool Design in the Learning of Functions Through Technology-Aided Experimental Approaches
    International Journal of Computers for Mathematical Learning, Vol. 10, No. 2. (January 2005), pp. 143-189.
  • Relations between Types of Reasoning and Computational Representations
    International Journal of Computers for Mathematical Learning, Vol. 9, No. 3. (January 2004), 251.
    by Orit Parnafes, Andrea Disessa
  • What Video Games Have to Teach Us About Learning and Literacy
    (07 May 2004)
    by James P Gee
  • Young childrens arithmetic strategies in social context: How parents contribute to childrens strategy development while playing games
    International Journal of Behavioral Development, Vol. 28, No. 4. (July 2004), pp. 347-357.
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