暂无分享,去创建一个
[1] R. Atkinson,et al. An Approach to the Psychology of Instruction. , 1972 .
[2] Michael C. Mozer,et al. Induction of Multiscale Temporal Structure , 1991, NIPS.
[3] Jürgen Schmidhuber,et al. Long Short-Term Memory , 1997, Neural Computation.
[4] Lancelot F. James,et al. Generalized weighted Chinese restaurant processes for species sampling mixture models , 2003 .
[5] Michael I. Jordan,et al. MASSACHUSETTS INSTITUTE OF TECHNOLOGY ARTIFICIAL INTELLIGENCE LABORATORY and CENTER FOR BIOLOGICAL AND COMPUTATIONAL LEARNING DEPARTMENT OF BRAIN AND COGNITIVE SCIENCES , 2001 .
[6] John R. Anderson,et al. Knowledge tracing: Modeling the acquisition of procedural knowledge , 2005, User Modeling and User-Adapted Interaction.
[7] Deniz Senturk-Doganaksoy,et al. Explanatory Item Response Models: A Generalized Linear and Nonlinear Approach , 2006, Technometrics.
[8] Vincent Aleven,et al. More Accurate Student Modeling through Contextual Estimation of Slip and Guess Probabilities in Bayesian Knowledge Tracing , 2008, Intelligent Tutoring Systems.
[9] Shou-De Lin,et al. Feature Engineering and Classifier Ensemble for KDD Cup 2010 , 2010, KDD 2010.
[10] Kenneth R. Koedinger,et al. A Data Repository for the EDM Community: The PSLC DataShop , 2010 .
[11] Zachary A. Pardos,et al. Does Time Matter? Modeling the Effect of Time with Bayesian Knowledge Tracing , 2011, EDM.
[12] Zachary A. Pardos,et al. KT-IDEM: introducing item difficulty to the knowledge tracing model , 2011, UMAP'11.
[13] Robert V. Lindsey,et al. Incorporating Latent Factors Into Knowledge Tracing To Predict Individual Differences In Learning , 2013 .
[14] Matthew H. Wilder,et al. Sequential effects in response time reveal learning mechanisms and event representations. , 2013, Psychological review.
[15] Rob Fergus,et al. Visualizing and Understanding Convolutional Networks , 2013, ECCV.
[16] Peter Brusilovsky,et al. Integrating Knowledge Tracing and Item Response Theory: A Tale of Two Frameworks , 2014, UMAP Workshops.
[17] Doug Rohrer,et al. Interleaved Practice Improves Mathematics Learning. , 2014 .
[18] Michael C. Mozer,et al. Automatic Discovery of Cognitive Skills to Improve the Prediction of Student Learning , 2014, NIPS.
[19] D. Rohrer,et al. The benefit of interleaved mathematics practice is not limited to superficially similar kinds of problems , 2014, Psychonomic bulletin & review.
[20] José P. González-Brenes. Modeling Skill Acquisition Over Time with Sequence and Topic Modeling , 2015, AISTATS.
[21] Jürgen Schmidhuber,et al. Deep learning in neural networks: An overview , 2014, Neural Networks.
[22] Alex Graves,et al. DRAW: A Recurrent Neural Network For Image Generation , 2015, ICML.
[23] Samy Bengio,et al. Show and tell: A neural image caption generator , 2014, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[24] Shane Legg,et al. Human-level control through deep reinforcement learning , 2015, Nature.
[25] Ilya M. Goldin,et al. Move your lamp post: Recent data reflects learner knowledge better than older data , 2015, EDM.
[26] Leonidas J. Guibas,et al. Deep Knowledge Tracing , 2015, NIPS.
[27] Guigang Zhang,et al. Deep Learning , 2016, Int. J. Semantic Comput..
[28] Demis Hassabis,et al. Mastering the game of Go with deep neural networks and tree search , 2016, Nature.