Tag learning [more than 800 articles] Export

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	Instructional Strategy and the "Creation" of Classroom Status [My Copy] Am Educ Res J, Vol. 20, No. 4. (1 January 1983), pp. 645-661. by Greta Morine-Dershimer posted to teaching teacher strategy learning interactive classroom active by mjg33 to the group 302-303 on 2009-11-07 22:30:15 as
	Polychronization: Computation with Spikes [My Copy] Neural Computation, Vol. 18, No. 2. (February 2006), pp. 245-282. by Eugene M. Izhikevich posted to temporal synchrony population network memory learning by bayesian on 2009-11-06 17:43:34 as along with 10 people and 2 groups rsantana paulclinger jotwin tkf chchatham sinverso fbaroni robotact balicea sylvain_chevallier Cognitive_Development_Center_-_Neural_Nets_Chapter BrainReadingGroup
	Recruitment Strategies for Studying Dementia in Later Life among Diverse Cultural Groups [My Copy] Alzheimer Disease & Associated Disorders, Vol. 19, No. 4. (October 2005), pp. 256-260. by Peggye Dilworth-Anderson, Samruddhi Thaker, Joan M. Burke posted to learning dementia by amandaalders on 2009-11-05 21:04:58 as
	Sociocultural and Constructivist Theories of Learning: Ontology, Not Just Epistemology [My Copy] Educational Psychologist, Vol. 35, No. 4. (2000), pp. 227-241. by Martin J. Packer, Jessie Goicoechea posted to learning constructivism by amandaalders on 2009-11-05 20:53:45 as along with 3 people Dasein nisumpte pnmartinez
	Learning theories as metaphorical discourse: Reflections on second language learning and constructivist epistemology [My Copy] Semiotica, Vol. 2006, No. 161. (August 2006), pp. 291-308. by Timothy Reagan posted to learning constructivism by amandaalders on 2009-11-05 20:52:05 as
	Using Sociotransformative Constructivism to Teach for Understanding in Diverse Classrooms: A Beginning Teacher's Journey [My Copy] Am Educ Res J, Vol. 39, No. 4. (1 January 2002), pp. 1017-1045. by Alberto J. Rodriguez, Chad Berryman posted to teach learning ethnic diverse constructivism by amandaalders on 2009-11-05 20:45:22 as
	Oscillations, Phase-of-Firing Coding, and Spike Timing-Dependent Plasticity: An Efficient Learning Scheme [My Copy] J. Neurosci., Vol. 29, No. 43. (28 October 2009), pp. 13484-13493. by Timothee Masquelier, Etienne Hugues, Gustavo Deco, Simon J. Thorpe posted to temporal_coding stdp phase_relation oscillations neural_coding learning information by fbaroni on 2009-11-05 19:05:58 as along with 1 person bayesian
	Capturing Trust in Social Web Applications [My Copy] Computing with Social Trust (2009), pp. 213-257. by John O’Donovan posted to web trust socialnetwork social mining learning capturing application by dokooh on 2009-11-05 16:18:28 as
	Map-based navigation in mobile robots: II. A review of map-learning and path-planning strategies [My Copy] Cognitive Systems Research, Vol. 4, No. 4. (December 2003), pp. 283-317. by J. Meyer posted to planning path map learning by Charence on 2009-11-05 15:59:09 as along with 3 people and 3 groups wentang nojhan gatsoulis EvolutionaryComputation Metaheuristics Optimization
	Community Mining from Signed Social Networks [My Copy] IEEE Transactions on Knowledge and Data Engineering, Vol. 19, No. 10. (2007), pp. 1333-1348. by Bo Yang, William Cheung, Jiming Liu posted to social network mining learning community by dokooh on 2009-11-05 14:36:57 as
	Affect and Learning: An Exploratory Look into the Role of Affect in Learning with AutoTutor [My Copy] Journal of Educational Media, Vol. 29, No. 3. (0 October 2004), pp. 241-250. by Scotty D. Craig, Arthur C. Graesser, Jeremiah Sullins, Barry Gholson posted to neutral learning frustration flow confusion boredom autotutor affect by pinventado on 2009-11-05 09:28:38 as
	On the state of the art in machine learning: A personal review [My Copy] Artificial Intelligence, Vol. 131, No. 1-2. (September 2001), pp. 199-222. by P. Flach posted to learning by iskathy on 2009-11-05 06:49:38 as along with 2 people powerlee scritic
	Network-based support vector machine for classification of microarray samples. [My Copy] BMC bioinformatics, Vol. 10 Suppl 1 (2009) by Yanni Zhu, Xiaotong Shen, Wei Pan posted to learning by iskathy on 2009-11-05 06:48:47 as along with 1 person jfr
	Getting Started in Gene Expression Microarray Analysis [My Copy] PLoS Comput Biol, Vol. 5, No. 10. (30 October 2009), e1000543. by Donna K. Slonim, Itai Yanai posted to learning by iskathy on 2009-11-05 06:48:04 as along with 4 people Fournier34 renatomilani ptrobajo heliopais
	Coexpression network based on natural variation in human gene expression reveals gene interactions and functions [My Copy] Genome Research, Vol. 19, No. 11. (1 November 2009), pp. 1953-1962. by Renuka R. Nayak, Michael Kearns, Richard S. Spielman, Vivian G. Cheung posted to aaa test1 test11 learning testing by iskathy on 2009-11-05 06:47:41 as along with 7 people and 1 group lp2 TRHvidsten megraw owhitney rdiaz tmmurali natstreet Journal picks
	Revising the nitrogen cycle in the Peruvian oxygen minimum zone [My Copy] Proceedings of the National Academy of Sciences, Vol. 106, No. 12. (24 March 2009), pp. 4752-4757. by Phyllis Lam, Gaute Lavik, Marlene M. Jensen, et al.Jack van de Vossenberg, Markus Schmid, Dagmar Woebken, Dimitri GutiÃ©rrez, Rudolf Amann, Mike S. M. Jetten, Marcel M. M. Kuypers posted to aaa test11 learning testing by iskathy on 2009-11-05 06:47:23 as along with 2 people and 2 groups BeaK kinestetika Shared Literature Resource of the Microbial Fitness Group - MPI Bremen anammox
	Recombinant soluble human tissue factor secreted by Saccharomyces cerevisiae and refolded from Escherichia coli inclusion bodies: glycosylation of mutants, activity and physical characterization. [My Copy] The Biochemical journal, Vol. 310 ( Pt 2) (1 September 1995), pp. 605-614. by M. J. Stone, W. Ruf, D. J. Miles, T. S. Edgington, P. E. Wright posted to aaa test11 learning testing by iskathy on 2009-11-05 06:47:07 as along with 1 person bmduggan
	Machinima interventions: innovative approaches to immersive virtual world curriculum integration [My Copy] ALT-J: Research in Learning Technology, Vol. 16, No. 3. (2008), pp. 207-220. by Andrew J. Middleton, Richard Mather posted to technology learning environments enhanced by edsrpp on 2009-11-04 21:40:46 as
	Ubiquitous Computing and Changing Pedagogical Possibilities: Representations, Conceptualizations and Uses of Knowledge [My Copy] Journal of Educational Computing Research, Vol. 36, No. 4. (1 June 2007), pp. 481-515. by Karen Swan, Mark Van 'T Hooft, Annette Kratcoski, Jason Schenker posted to technology teaching multimedia learning instruction educational computer-assisted by ssouth22 on 2009-11-04 17:21:44 as
	Using technology to direct learning in higher education: The way forward? [My Copy] Active Learning in Higher Education, Vol. 10, No. 1. (1 March 2009), pp. 71-83. by C. S. M. Turney, D. Robinson, M. Lee, A. Soutar posted to technology learning higher education by ssouth22 on 2009-11-04 17:16:52 as
	Student perceptions of active learning in a large cross-disciplinary classroom [My Copy] Active Learning in Higher Education, Vol. 8, No. 1. (1 March 2007), pp. 9-30. by Patricia L. Machemer, Pat Crawford posted to teaching_techniques learning cooperative_learning active by ssouth22 on 2009-11-04 16:59:40 as along with 2 people alisonruth sarahsue
	Integrating web-delivered problem-based learning scenarios to the curriculum [My Copy] Active Learning in Higher Education, Vol. 8, No. 2. (1 July 2007), pp. 139-153. by Peter Gossman, Terry Stewart, Marlene Jaspers, Bruce Chapman posted to learning active by ssouth22 on 2009-11-04 16:55:11 as
	Adding Prediction Risk to the Theory of Reward Learning [My Copy] Annals of the New York Academy of Sciences, Vol. 1104, No. Reward and Decision Making in Corticobasal Ganglia Networks. (May 2007), pp. 135-146. by F. Kerstin Preuschof, S. Peter Bossaert posted to uncertainty rescorla-wagner reinforcement_learning learning dopamine adaptive_learning_rate by flieder on 2009-11-04 15:57:35 as
	Gaussian Processes for Regression [My Copy] In Advances in Neural Information Processing Systems 8, Vol. 8 (1996), pp. 514-520. by C. Williams, C. Rasmussen posted to lwpr learning gaussian_processes by Cavadini on 2009-11-04 11:21:08 as along with 3 people pjcite ajbattle DavidSchulz
	Supervised Dimension Reduction of Intrinsically Low-Dimensional Data [My Copy] Neural Computation, Vol. 14, No. 1. (1 January 2002), pp. 191-215. by N. Vlassis, Y. Motomura, B. Kröse posted to lwpr learning dimension_reduction by Cavadini on 2009-11-04 11:19:17 as along with 1 person sdvillal
	Local Adaptive Subspace Regression [My Copy] Neural Processing Letters, Vol. 7, No. 3. (1 June 1998), pp. 139-149. by S. Vijayakumar, S. Schaal posted to lwpr learning by Cavadini on 2009-11-04 11:17:07 as
	RKHS-based functional analysis for exact incremental learning [My Copy] Neurocomputing (November 1999), pp. 85-113. by S. Vijayakumar, H. Ogawa posted to lwpr learning incremental by Cavadini on 2009-11-04 11:15:34 as
	SMEM Algorithm for Mixture Models [My Copy] Neural Computation, Vol. 12, No. 9. (1 September 2000), pp. 2109-2128. by N. Ueda, R. Nakano, Z. Ghahramani, G. Hinton posted to lwpr learning by Cavadini on 2009-11-04 11:12:13 as
	A Global Geometric Framework for Nonlinear Dimensionality Reduction [My Copy] Science, Vol. 290, No. 5500. (22 December 2000), pp. 2319-2323. by J. Tenenbaum, V. Silva, J. Langford posted to lwpr learning dimensionality_reduction by Cavadini on 2009-11-04 11:09:48 as along with 28 people and 4 groups akuhn banus caicai klmoravec weiweiguo rramirezp babakap dcoates thefillm christofseiler qwermish egozi aufrank k12u yas metamerist yama_tah tag mthomure sdvillal dgront voiklis dwf DavidSchulz teesid jung_dalglish mctor matjes ur-cls T_lab metric_embeddings ColDyn
	A tutorial on support vector regression [My Copy] Statistics and Computing, Vol. 14, No. 3. (1 August 2004), pp. 199-222. by A. Smola, B. Schölkopf posted to lwpr learning by Cavadini on 2009-11-04 11:04:24 as along with 7 people xuzhe83 liefengbo vbaudoui timg dcastro jccaicedo caramanis
	Constructive Incremental Learning from Only Local Information [My Copy] Neural Computation, Vol. 10, No. 8. (1 November 1998), pp. 2047-2084. by S. Schaal, C. Atkeson posted to lwpr learning by Cavadini on 2009-11-04 10:55:32 as
	Nonlinear Dimensionality Reduction by Locally Linear Embedding [My Copy] Science, Vol. 290, No. 5500. (22 December 2000), pp. 2323-2326. by Sam T. Roweis, Lawrence K. Saul posted to lwpr learning dimensionality_reduction by Cavadini on 2009-11-04 10:53:27 as along with 34 people and 4 groups akuhn singhsh caicai tfx klmoravec jzujovic rramirezp Scis0000002 ajbattle shpigi thefillm jtbassic babakap qwermish briordan weiweiguo egozi yaroslavvb gangli yas yama_tah filippone tag sdvillal dgront walkking jguinney kenji4569 DavidSchulz mdramirez mctor amargoli matjes eddymier tulip T_lab metric_embeddings Computer_Graphics
	Generalized Additive Models [My Copy] Statistical Science, Vol. 1, No. 3. (1986), pp. 297-310. by T. Hastie, R. Tibshirani posted to lwpr learning by Cavadini on 2009-11-04 10:50:58 as along with 1 person brian
	Local Regression: Automatic Kernel Carpentry [My Copy] Statistical Science, Vol. 8, No. 2. (1993), pp. 120-129. by T. Hastie, C. Loader posted to lwpr learning by Cavadini on 2009-11-04 10:48:51 as
	Variational inference for Bayesian mixtures of factor analysers [My Copy] In In Advances in Neural Information Processing Systems 12, Vol. 12 (2000), pp. 449-455. by Z. Ghahramani, M. Beal posted to lwpr learning by Cavadini on 2009-11-04 10:46:40 as
	Projection Pursuit Regression [My Copy] Journal of the American Statistical Association, Vol. 76, No. 376. (1981), pp. 817-823. by J. Friedman, W. Stuetzle posted to lwpr learning by Cavadini on 2009-11-04 10:44:14 as along with 2 people brian mmunson
	The cascade-correlation learning architecture [My Copy] (1990), pp. 524-532. by S. Fahlman, C. Lebiere posted to lwpr learning by Cavadini on 2009-11-04 10:42:15 as
	Locally Weighted Learning [My Copy] Artificial Intelligence Review, Vol. 11, No. 1. (1 February 1997), pp. 11-73. by C. Atkeson, A. Moore, S. Schaal posted to lwpr learning by Cavadini on 2009-11-04 10:39:19 as along with 3 people sdvillal mdifranc elvinado
	Cognitive skill learning and aging A component process analysis [My Copy] Archives of Clinical Neuropsychology, Vol. 17, No. 5. (July 2002), pp. 445-459. by C. Peretti posted to learning cognitive by amandaalders on 2009-11-04 00:05:49 as
	Distance Metric Learning for Large Margin Nearest Neighbor Classification [My Copy] J. Mach. Learn. Res., Vol. 10 (2009), pp. 207-244. by Kilian Q. Weinberger, Lawrence K. Saul posted to nn metric maximization margin mahalanobis lmnn learning large knn distance classification by e120265 on 2009-11-03 20:39:58 as
	Different time courses of learning-related activity in the prefrontal cortex and striatum [My Copy] Nature, Vol. 433, No. 7028. (24 February 2005), pp. 873-876. by Anitha Pasupathy, Earl K. Miller posted to striatum pfc learning by sschafer on 2009-11-03 16:01:54 as along with 9 people and 1 group nelmor apeyrache as3171 Kbenchenane brian klouie mjaz oamg awooga Glimcher_Lab
	Predicting the time of conversion to MCI in the elderly: Role of verbal expression and learning [My Copy] Neurology, Vol. 73, No. 18. (3 November 2009), pp. 1436-1442. by Abderrahim Oulhaj, Gordon K. Wilcock, A. David Smith, Celeste A. de Jager posted to plasticity neurodegenerative mci longitudinal learning language human cognition brain alzheimers aging by jclau on 2009-11-03 14:47:28 as
	Reinforcement Learning: An Introduction [My Copy] (1998) by Richard S. Sutton, Andrew G. Barto edited by M. I. T. Press posted to reinforcement learning by Cavadini on 2009-11-03 13:41:38 as
	Information Theory, Inference & Learning Algorithms [My Copy] (15 June 2002) by David J. C. MacKay posted to learning algorithms by vgauthier on 2009-11-03 13:03:33 as along with 60 people and 5 groups flips Sergey_gerbek foekenev gkatsi pjmaybank serebryakov mdengler jorgeac Fantozzi ARobson betting awarlau Adso dullhunk brian Maderlock alexzeh thefillm pprett ppeeling A_Olympia ansobol yaroslavvb JoSeK ingo jrw rpadams gyuli dariusb simonjudge leidner bayesian BarrosH wnpx filippone marcosmuller danielaugot zielaj daveh spirit_of_numenor sbarthelme anon_pl dwf petrijooste wowbagger nrubens chrisc rsantana fishtank rwilliamson poluxmoon robertoalamino brianmc lop matjes delip markusd ekatsyrk luispedro robotact Philosophy_of_Information Blog_and_Wiki_Research AssistiveTechnology inference-group ComplexAdaptiveSystems
	Learning weighted metrics to minimize nearest-neighbor classification error [My Copy] Pattern Analysis and Machine Intelligence, IEEE Transactions on, Vol. 28, No. 7. (05 June 2006), pp. 1100-1110. by R. Paredes, E. Vidal posted to nn metric learning knn distance by e120265 on 2009-11-03 06:03:17 as
	Repairing Disengagement With Non-Invasive Interventions [My Copy] In Proceeding of the 2007 conference on Artificial Intelligence in Education (2007), pp. 195-202. by Ivon Arroyo, Kimberly Ferguson, Jeff Johns, et al.Toby Dragon, Hasmik Meheranian, Don Fisher, Andrew Barto, Sridhar Mahadevan, Beverly P. Woolf posted to reflection motivation learning invasiveness interventions engagement disengagement by peircen on 2009-11-02 14:34:09 as
	Mobile learning with a mobile game: design and motivational effects [My Copy] Journal of Computer Assisted Learning, Vol. 21, No. 3. (June 2005), pp. 204-216. by Gerhard Schwabe, Christoph Goth posted to mobile learning by hasikalaanuruddhi on 2009-11-02 13:17:54 as along with 2 people and 1 group now plonsdale HCI-Bham
	How Different Types of Natal Experience Affect Habitat Preference. [My Copy] The American Naturalist, Vol. 174, No. 5. (1 November 2009), pp. 623-630. by Judy A. Stamps, V. V. Krishnan, Neil H. Willits posted to learning flies behavior by iBartomeus on 2009-11-02 11:32:03 as along with 1 person tkeitt
	Challenges in real-life emotion annotation and machine learning based detection [My Copy] Neural Netw., Vol. 18, No. 4. (2005), pp. 407-422. by Laurence Devillers, Laurence Vidrascu, Lori Lamel posted to voice speech neural network machine learning emotion by pinventado on 2009-11-01 15:27:26 as
	Reading Comprehension in Aging: The Role of Working Memory and Metacomprehension [My Copy] Aging, Neuropsychology, and Cognition, Vol. 14, No. 2. (2007), pp. 189-212. by Rossana De Beni, Erika Borella, Barbara Carretti posted to metacognition memory learning age by BABren on 2009-11-01 15:06:41 as

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