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Article
Learning in online forums
Desanctis, G., Fayard, A. L., Roach, M. & Jiang, L., Oct 2003, In: European Management Journal. 21, 5, p. 565-577 13 p.Research output: Contribution to journal › Article › peer-review
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Learning in Place: Immigrants' Spatial and Temporal Strategies for Occupational Advancement
Iskander, N., Riordan, C. & Lowe, N., Jan 2013, In: Economic Geography. 89, 1, p. 53-75 23 p.Research output: Contribution to journal › Article › peer-review
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Learning in relational databases: an attribute‐oriented approach
CAI, YANDONG., CERCONE, NICK. & HAN, JIAWEI., Aug 1991, In: Computational Intelligence. 7, 3, p. 119-132 14 p.Research output: Contribution to journal › Article › peer-review
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Learning in science: A comparison of deep and surface approaches
Chin, C. & Brown, D. E., Feb 2000, In: Journal of Research in Science Teaching. 37, 2, p. 109-138 30 p.Research output: Contribution to journal › Article › peer-review
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Learning in Spite of Opposition: African Americans and their History of Educational Exclusion in Antebellum America
Span, C. M., 2005, In: Counterpoints. 131, p. 26-53 28 p.Research output: Contribution to journal › Article › peer-review
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Learning intercultural communication skills with virtual humans: Feedback and fidelity
Lane, H. C., Hays, M. J., Core, M. G. & Auerbach, D., Nov 2013, In: Journal of Educational Psychology. 105, 4, p. 1026-1033 8 p.Research output: Contribution to journal › Article › peer-review
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Learning invariants using decision trees and implication counterexamples
Garg, P., Neider, D., Madhusudan, P. & Roth, D., Apr 8 2016, In: ACM SIGPLAN Notices. 51, 1, p. 499-512 14 p.Research output: Contribution to journal › Article › peer-review
Open Access -
Learning latent events from network message logs
Satpathi, S., Deb, S., Srikant, R. & Yan, H., Aug 2019, In: IEEE/ACM Transactions on Networking. 27, 4, p. 1728-1741 14 p., 3370621.Research output: Contribution to journal › Article › peer-review
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Learning leadership abroad: An overview of a short-term leadership-focused study abroad program in Italy
Rosch, D. M. & Haber-Curran, P., 2013, In: Journal of Leadership Education. 7, 2Research output: Contribution to journal › Article › peer-review
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Learning mathematics in first-grade classrooms: On whose authority?
Hamm, J. V. & Perry, M., Jun 2002, In: Journal of Educational Psychology. 94, 1, p. 126-137 12 p.Research output: Contribution to journal › Article › peer-review
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Learning minimal latent directed information polytrees
Etesami, J., Kiyavash, N. & Coleman, T., Sep 1 2016, In: Neural Computation. 28, 9, p. 1723-1768 46 p.Research output: Contribution to journal › Article › peer-review
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Learning More About How They Think: Information Literacy Instruction in a Campus-Wide Critical Thinking Project
Johnson, C. M., Lindsay, E. B. & Walter, S., Jun 8 2008, In: College & Undergraduate Libraries. 15, 1/2, p. 231-254 24 p.Research output: Contribution to journal › Article › peer-review
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Learning multi-linear representations of distributions for efficient inference
Roth, D. & Samdani, R., Sep 2009, In: Machine Learning. 76, 2-3, p. 195-209 15 p.Research output: Contribution to journal › Article › peer-review
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Learning Not to Diversify: The Transformation of Graduate Business Education and the Decline of Diversifying Acquisitions
Jung, J. & Shin, T., Jun 1 2019, In: Administrative Science Quarterly. 64, 2, p. 337-369 33 p.Research output: Contribution to journal › Article › peer-review
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Learning of dynamic soil behavior from downhole arrays
Tsai, C. C. & Hashash, Y. M. A., 2009, In: Journal of Geotechnical and Geoenvironmental Engineering. 135, 6, p. 745-757 13 p.Research output: Contribution to journal › Article › peer-review
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Learning of pore pressure response and dynamic soil behavior from downhole array measurements
Groholski, D. R., Hashash, Y. M. A. & Matasovic, N., Jun 2014, In: Soil Dynamics and Earthquake Engineering. 61-62, p. 40-56 17 p.Research output: Contribution to journal › Article › peer-review
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Learning on the Group Embedded Figures Test.
Chalip, L., Jun 1979, In: Perceptual and motor skills. 48, 3 Pt 2, p. 1070 1 p.Research output: Contribution to journal › Article › peer-review
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Learning orientation and goal orientation context: Relationships with cognitive and affective learning outcomes
Martocchio, J. J. & Hertenstein, E. J., Dec 2003, In: Human Resource Development Quarterly. 14, 4, p. 413-434 22 p.Research output: Contribution to journal › Article › peer-review
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Learning pathways for engagement: Understanding drivers of pro-environmental behavior in the context of protected area management
Andrade, R., van Riper, C. J., Goodson, D., Johnson, D. N. & Stewart, W., Dec 1 2022, In: Journal of Environmental Management. 323, 116204.Research output: Contribution to journal › Article › peer-review
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Learning phonotactic constraints from brief auditory experience
Onishi, K. H., Chambers, K. E. & Fisher, C., 2002, In: Cognition. 83, 1, p. B13-B23Research output: Contribution to journal › Article › peer-review
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Learning principles from text
Anderson, R. C., Feb 1973, In: Journal of Educational Psychology. 64, 1, p. 26-30 5 p.Research output: Contribution to journal › Article › peer-review
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Learning probabilistic classifiers for human-computer interaction applications
Sebe, N., Cohen, I., Cozman, F. G., Gevers, T. & Huang, T. S., 2005, In: Multimedia Systems. 10, 6, p. 484-498 15 p.Research output: Contribution to journal › Article › peer-review
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Learning productivity at research universities
Kuh, G. D. & Hu, S., 2001, In: Journal of Higher Education. 72, 1, p. 1-28 28 p.Research output: Contribution to journal › Article › peer-review
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Learning question classifiers: The role of semantic information
Li, X. & Roth, D., Sep 2006, In: Natural Language Engineering. 12, 3, p. 229-249 21 p.Research output: Contribution to journal › Article › peer-review
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Learning ramp transformation for single image super-resolution
Singh, A. & Ahuja, N., Jun 1 2015, In: Computer Vision and Image Understanding. 135, p. 109-125 17 p.Research output: Contribution to journal › Article › peer-review
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Learning rate and attractor size of the single-layer perceptron
Singleton, M. S. & Hübler, A. W., Feb 26 2007, In: Physical Review E - Statistical, Nonlinear, and Soft Matter Physics. 75, 2, 026704.Research output: Contribution to journal › Article › peer-review
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Learning Recognition and Segmentation Using the Cresceptron
Weng, J., Ahuja, N. & Huang, T. S., 1997, In: International Journal of Computer Vision. 25, 2, p. 109-143 35 p.Research output: Contribution to journal › Article › peer-review
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Learning Representations for New Sound Classes With Continual Self-Supervised Learning
Wang, Z., Subakan, C., Jiang, X., Wu, J., Tzinis, E., Ravanelli, M. & Smaragdis, P., 2022, In: IEEE Signal Processing Letters. 29, p. 2607-2611 5 p.Research output: Contribution to journal › Article › peer-review
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Learning salient seeds refer to the manifold ranking and background-prior strategy
Chou, Y. C., Nien, Y. W., Chen, Y. C., Li, B. & Lee, J. S., Mar 1 2020, In: Multimedia Tools and Applications. 79, 9-10, p. 5859-5879 21 p.Research output: Contribution to journal › Article › peer-review
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Learning Spaces in Existing Library Places
Hinchliffe, L. J., 2005, In: Reference & User Services Quarterly. 44, 4, p. 298-300Research output: Contribution to journal › Article › peer-review
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Learning Sparse Interaction Graphs of Partially Detected Pedestrians for Trajectory Prediction
Huang, Z., Li, R., Shin, K. & Driggs-Campbell, K., Apr 1 2022, In: IEEE Robotics and Automation Letters. 7, 2, p. 1198-1205 8 p.Research output: Contribution to journal › Article › peer-review
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Learning sparse multiple cause models
Naphade, M., Frey, B., Chen, L. & Huang, T., 2000, In: Proceedings - International Conference on Pattern Recognition. 15, 2, p. 642-647 6 p.Research output: Contribution to journal › Article › peer-review
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Learning sparsifying transforms
Ravishankar, S. & Bresler, Y., 2013, In: IEEE Transactions on Signal Processing. 61, 5, p. 1072-1086 15 p., 6339108.Research output: Contribution to journal › Article › peer-review
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Learning static spectral weightings for speech intelligibility enhancement in noise
Tang, Y. & Cooke, M., May 2018, In: Computer Speech and Language. 49, p. 1-16 16 p.Research output: Contribution to journal › Article › peer-review
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Learning stochastic object models from medical imaging measurements by use of advanced ambient generative adversarial networks
Zhou, W., Bhadra, S., Brooks, F. J., Li, H. & Anastasio, M. A., Jan 1 2022, In: Journal of Medical Imaging. 9, 1, 015503.Research output: Contribution to journal › Article › peer-review
Open Access -
Learning structural motif representations for efficient protein structure search
Liu, Y., Ye, Q., Wang, L. & Peng, J., Sep 1 2018, In: Bioinformatics. 34, 17, p. i773-i780Research output: Contribution to journal › Article › peer-review
Open Access -
Learning Super-Resolution Jointly From External and Internal Examples
Wang, Z., Yang, Y., Wang, Z., Chang, S., Yang, J. & Huang, T. S., Nov 1 2015, In: IEEE Transactions on Image Processing. 24, 11, p. 4359-4371 13 p., 7180353.Research output: Contribution to journal › Article › peer-review
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Learning talk analysis
Markee, N. & Seo, M. S., Mar 2009, In: IRAL - International Review of Applied Linguistics in Language Teaching. 47, 1, p. 37-63 27 p.Research output: Contribution to journal › Article › peer-review
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Learning Temporal Dynamics for Video Super-Resolution: A Deep Learning Approach
Liu, DI., Wang, Z., Fan, Y., Liu, X., Wang, Z., Chang, S., Wang, X. & Huang, T. S., Jul 2018, In: IEEE Transactions on Image Processing. 27, 7, p. 3432-3445 14 p.Research output: Contribution to journal › Article › peer-review
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Learning the Phonotactics of Button Pushing: Consolidation, Retention, and Syllable Structure
Rebei, A., Anderson, N. D. & Dell, G. S., 2019, In: Journal of Experimental Psychology: Learning Memory and Cognition.Research output: Contribution to journal › Article › peer-review
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Learning the Problem-Optimum Map: Analysis and Application to Global Optimization in Robotics
Hauser, K., Feb 2017, In: IEEE Transactions on Robotics. 33, 1, p. 141-152 12 p., 7782460.Research output: Contribution to journal › Article › peer-review
Open Access -
Learning through dissonance: Critical service-learning in a juvenile detention center as field experience in music teacher education
Nichols, J. & Sullivan, B. M., Dec 1 2016, In: Research Studies in Music Education. 38, 2, p. 155-171 17 p.Research output: Contribution to journal › Article › peer-review
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Learning through ICT-enabled social networks
Deng, L. & Poole, M. S., Jun 2008, In: International Journal of Information Technology and Management. 7, 4, p. 374-391 18 p.Research output: Contribution to journal › Article › peer-review
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Learning through interactions: a pilot study of family interventions for at-risk children
Krippel, M. D., Burke, M. M. & Rios, K., Sep 9 2020, In: Early Child Development and Care. 190, 12, p. 1904-1917 14 p.Research output: Contribution to journal › Article › peer-review
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Learning through telemedicine: Case study of a wound care network
Deng, L., Poole, M. S., Brown, H. G. & Scheideman-Miller, C., 2005, In: International Journal of Healthcare Technology and Management. 6, 4-6, p. 368-380 13 p.Research output: Contribution to journal › Article › peer-review
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Learning to Be James Joyce's Contemporary? Richard Ellmann's Discovery and Transformation of Joyce's Letters and Manuscripts
Brockman, W., 1999, In: Journal of Modern Literature. 22, 2, p. 253-63 11 p.Research output: Contribution to journal › Article › peer-review
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Learning to Control Renewal Processes with Bandit Feedback
Cayci, S., Eryilmaz, A. & Srikant, R., Dec 17 2019, In: Performance Evaluation Review. 47, 1, p. 41-42 2 p.Research output: Contribution to journal › Article › peer-review
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Learning to crawl: Comparing classification schemes
Pant, G. & Srinivasan, P., 2005, In: ACM Transactions on Information Systems. 23, 4, p. 430-462 33 p.Research output: Contribution to journal › Article › peer-review
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Learning to detect objects in images via a sparse, part-based representation
Agarwal, S., Awan, A. & Roth, D., Nov 2004, In: IEEE transactions on pattern analysis and machine intelligence. 26, 11, p. 1475-1490 16 p.Research output: Contribution to journal › Article › peer-review
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Learning to divide the labor: An account of deficits in light and heavy verb production
Gordon, J. K. & Dell, G. S., 2003, In: Cognitive Science. 27, 1, p. 1-40 40 p.Research output: Contribution to journal › Article › peer-review