Tag unsupervised_learning [23 articles] Export

Recent papers classified by the tag unsupervised_learning.

	Supervised and unsupervised learning of multidimensional acoustic categories. [My Copy] Journal of experimental psychology. Human perception and performance, Vol. 35, No. 6. (December 2009), pp. 1913-1933. by Martijn Goudbeek, Daniel Swingley, Roel Smits posted to unsupervised_learning supervised_learning learning feedback dimensional_weighting categorization auditory_perception by kapfelba on 2009-12-11 21:01:02 as
	Hebbian Self-Organizing Integrate-and-Fire Networks for Data Clustering [My Copy] Neural Computation, Vol. 22, No. 1. (1 January 2010), pp. 273-288. by Florian Landis, Thomas Ott, Ruedi Stoop posted to unsupervised_learning spiking integrate_and_fire hebbian_learning data_analysis clustering by flieder on 2009-10-30 13:40:49 as along with 1 person flips
	Complementary roles of basal ganglia and cerebellum in learning and motor control [My Copy] Current Opinion in Neurobiology, Vol. 10, No. 6. (1 December 2000), pp. 732-739. by K. Doya posted to basal_ganglia cerebellum computational_neuroscience cortex learning motor reinforcement_learning supervised_learning unsupervised_learning by flieder on 2009-08-06 21:49:50 as
	Learning the invariance properties of complex cells from their responses to natural stimuli. [My Copy] Eur J Neurosci, Vol. 15, No. 3. (February 2002), pp. 475-486. by W. Einhäuser, C. Kayser, P. König, K. P. Körding posted to complex_cell computational_neuroscience natural_image_statistics neural_network unsupervised_learning v1 vision by flieder on 2009-08-06 21:12:50 as along with 2 people and 1 group bayesian catie vision-ng
	A Model of the Ventral Visual System Based on Temporal Stability and Local Memory [My Copy] PLoS Biol, Vol. 4, No. 5. (18 April 2006), e120. by Reto Wyss, Peter König, Paul F. M. J. Verschure posted to computational_neuroscience goal_function neural_networks unsupervised_learning ventral_stream vision by flieder on 2009-08-06 19:55:18 as along with 4 people and 1 group rawphi neilh cijat rmaertin S-Lab
	Neurons with two sites of synaptic integration learn invariant representations. [My Copy] Neural computation, Vol. 13, No. 12. (December 2001), pp. 2823-2849. by K. P. Körding, P. König posted to complex_cell computational_neuroscience goal_function neural_networks receptive_fields unsupervised_learning v1 by flieder on 2009-08-06 19:48:45 as
	Labels as Features (Not Names) for Infant Categorization: A Neurocomputational Approach [My Copy] Cognitive Science, Vol. 33, No. 4. (2009), pp. 709-738. by Valentina Gliozzi, Julien Mayor, Jon-Fan Hu, Kim Plunkett posted to categorization connectionism development distributed_representations infants labeling learning models self-organizing-maps unsupervised_learning word_learning by kapfelba on 2009-07-13 17:49:30 as
	Data clustering: a review [My Copy] ACM Comput. Surv., Vol. 31, No. 3. (September 1999), pp. 264-323. by A. K. Jain, M. N. Murty, P. J. Flynn posted to cluster_analysis clustering unsupervised_learning 1999 by avoregnitiv on 2009-05-21 12:34:10 as along with 64 people and 15 groups krapnik ulmer emailhy erikv thegoose urvoy stharward thefillm operon fer votis pick600 pbk nhoussos qwermish svozil takeha-e eabait mthomure mercutio egh ericyu karbak dgruiz pdlug thsant mapio mhay davidbrooks imouthesmp dfrankow rahul marcius stagediver sterovetta sangeetha chadhogg sdvillal dgront styliani alexhofmann gane5h ianturton bigbossman perceptron allmensch aviad_work julianpan atbrew sugarexpletive KillianKay mkolar sajan dvisoin theodora jcsilva furykerry koles paulovn AbnerCYH tnhh flaviovdf dragonrez iraklis elan video_retrieval kdl GroupLens Bioinformatics SRL insilicodrug BioinfoCIPF SGU-CIPF MScResearchRessources NDSiTransitRessources NDS106ProjectRessources NDSIntraVehicularResearch ahat Community_SSTZ
	Rapid Word Learning Under Uncertainty via Cross-Situational Statistics [My Copy] Psychological Science, Vol. 18, No. 5. (2007), pp. 414-420. by Chen Yu, Linda B. Smith posted to induction statistical_learning unsupervised_learning word_learning by kapfelba on 2009-05-13 16:06:10 as along with 4 people and 1 group lmaurits briordan gcrost snifty CLC_Lab_Cross_Situational_Word_Learning
	Prediction Errors and Attention in the Presence and Absence of Feedback [My Copy] Current Directions in Psychological Science, Vol. 18, No. 2., pp. 95-100. by A. J. Wills posted to attention categorization feedback forward_model learning review semisupervised_learning unsupervised_learning by kapfelba on 2009-04-29 18:58:19 as
	Learning mode and exemplar sequencing in unsupervised category learning. [My Copy] Journal of experimental psychology. Learning, memory, and cognition, Vol. 35, No. 3. (May 2009), pp. 731-741. by D. Zeithamova, W. T. Maddox posted to categorization context_effects incidental_learning intentionality order_effects unsupervised_learning vision by kapfelba on 2009-04-29 18:04:57 as
	Efficient coding of natural sounds. [My Copy] Nat Neurosci, Vol. 5, No. 4. (April 2002), pp. 356-363. by M. S. Lewicki posted to natural_sounds theoretical_neuroscience unsupervised_learning by rmaertin on 2009-02-06 10:43:55 as along with 5 people sdaehne sylvain_chevallier bayesian balicea cvq
	Slowness and Sparseness Lead to Place, Head-Direction, and Spatial-View Cells [My Copy] PLoS Comput Biol, Vol. 3, No. 8. (2007), e166. by Mathias Franzius, Henning Sprekeler, Laurenz Wiskott posted to neural_networks objective_functions place_fields slowness theoretical_neuroscience unsupervised_learning by rmaertin on 2009-02-06 10:31:21 as along with 3 people sen_cheng rawphi sylvain_chevallier
	Predictive coding and the slowness principle: an information-theoretic approach. [My Copy] Neural Comput, Vol. 20, No. 4. (April 2008), pp. 1026-1041. by F. Creutzig, H. Sprekeler posted to neural_networks objective_functions predictability slowness theoretical_neuroscience unsupervised_learning by rmaertin on 2009-02-06 10:30:01 as along with 2 people bayesian i-stevenson
	Statistical keyword detection in literary corpora [My Copy] (30 May 2008) by Juan P. Herrera, Pedro A. Pury posted to keyword_extraction statistical_classification unsupervised_learning by sboisen on 2008-06-03 21:32:05 as
	Learning Low-Density Separators [My Copy] (19 May 2008) by Shai Ben-David, Tyler Lu, David Pal, Miroslava Sotakova posted to machine_learning unsupervised_learning by robotact on 2008-05-20 08:18:03 as along with 2 people and 1 group sugarexpletive mdreid Statistical Machine Learning
	How are complex cell properties adapted to the statistics of natural stimuli? [My Copy] J Neurophysiol, Vol. 91, No. 1. (January 2004), pp. 206-212. by K. P. Körding, C. Kayser, W. Einhäuser, P. König posted to computational_neuroscience neural_networks optimal_coding unsupervised_learning vision by rmaertin on 2008-05-10 15:08:32 as along with 4 people and 2 groups sdaehne bayesian rajatr i-stevenson vision-ng Kording Lab
	Emergence of simple-cell receptive field properties by learning a sparse code for natural images. [My Copy] Nature, Vol. 381, No. 6583. (13 June 1996), pp. 607-609. by B. A. Olshausen, D. J. Field posted to computational_neuroscience optimal_coding unsupervised_learning vision by rmaertin on 2008-05-10 15:03:56 as along with 7 people sdonatti LaurentPerrinet starz1010101 bayesian yama_tah sbarthelme mrkrause
	Unsupervised Learning of Invariant Feature Hierarchies with Applications to Object Recognition [My Copy] Computer Vision and Pattern Recognition, 2007. CVPR '07. IEEE Conference on In Computer Vision and Pattern Recognition, 2007. CVPR '07. IEEE Conference on (2007), pp. 1-8. by M. A. Ranzato, Fu J. Huang, Y. L. Boureau, Yann Lecun posted to learning unsupervised_learning by creswick on 2008-03-27 22:45:21 as along with 1 person __andy__
	Metric Learning for Text Documents [My Copy] IEEE Trans. Pattern Anal. Mach. Intell., Vol. 28, No. 4. (April 2006) by Guy Lebanon posted to metric_learning nlp unsupervised_learning by jsr on 2008-03-16 12:51:46 as
	Information-theoretic metric learning [My Copy] In ICML '07: Proceedings of the 24th international conference on Machine learning (2007), pp. 209-216. by Jason V. Davis, Brian Kulis, Prateek Jain, Suvrit Sra, Inderjit S. Dhillon posted to manifolds metric_learning unsupervised_learning by jsr on 2008-03-15 11:08:23 as along with 4 people jekky sdvillal teesid jung_dalglish
	Map learning with uninterpreted sensors and effectors [My Copy] Artificial Intelligence, Vol. 92, No. 1-2. (1997), pp. 169-227. by David Pierce, Benjamin J. Kuipers posted to machine_learning sensorimotor sensorimotor_organization unsupervised_learning by rmaertin on 2008-02-03 14:25:42 as along with 2 people kira reggiani
	Is there something out there?: Inferring space from sensorimotor dependencies [My Copy] Neural Comput., Vol. 15, No. 9. (September 2003), pp. 2029-2049. by D. Philipona, J. K. O'Regan, J. P. Nadal posted to manifold sensorimotor smc unsupervised_learning by rmaertin on 2007-10-11 11:55:35 as along with 1 person Peterfine

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computational_neuroscience	6
neural_networks	6
learning	5
vision	5
categorization	4
objective_functions	3
theoretical_neuroscience	3
clustering	2
complex_cell	2
feedback	2
goal_function	2
machine_learning	2
metric_learning	2
optimal_coding	2
place_fields	2
sensorimotor	2
slowness	2
supervised_learning	2
v1	2
word_learning	2
1999	1
attention	1
auditory_perception	1
basal_ganglia	1
cerebellum	1
cluster_analysis	1
connectionism	1
context_effects	1
cortex	1
cross_validation	1
data_analysis	1
development	1
dimensional_weighting	1
distributed_representations	1
forward_model	1
hebbian_learning	1
hippocampus	1
incidental_learning	1
induction	1
infants	1
integrate_and_fire	1
intentionality	1
keyword_extraction	1
labeling	1
manifold	1
manifolds	1
models	1
motor	1
natural_image_statistics	1
natural_sounds	1
neural_network	1
nlp	1
order_effects	1
predictability	1
receptive_fields	1
reinforcement_learning	1
review	1
self-organizing-maps	1
semisupervised_learning	1
sensorimotor_organization	1
smc	1
spiking	1
statistical_classification	1
statistical_learning	1
ventral_stream	1

Tag unsupervised_learning [23 articles] Export

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