| An efficient gradient-based algorithm for on-line training of recurrent network trajectories RJ Williams, J Peng Neural computation 2 (4), 490-501, 1990 | 957 | 1990 |
| Incremental multi-step Q-learning J Peng, RJ Williams Machine Learning Proceedings 1994, 226-232, 1994 | 731 | 1994 |
| Locally adaptive metric nearest-neighbor classification C Domeniconi, J Peng, D Gunopulos IEEE transactions on pattern analysis and machine intelligence 24 (9), 1281-1285, 2002 | 449 | 2002 |
| Function optimization using connectionist reinforcement learning algorithms RJ Williams, J Peng Connection Science 3 (3), 241-268, 1991 | 433 | 1991 |
| Efficient learning and planning within the Dyna framework J Peng, RJ Williams Adaptive behavior 1 (4), 437-454, 1993 | 373 | 1993 |
| Probabilistic feature relevance learning for content-based image retrieval J Peng, B Bhanu, S Qing Computer vision and image understanding 75 (1-2), 150-164, 1999 | 197 | 1999 |
| Adaptive integrated image segmentation and object recognition B Bhanu, J Peng IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and …, 2000 | 180 | 2000 |
| Closed-loop object recognition using reinforcement learning J Peng, B Bhanu IEEE Transactions on Pattern Analysis and Machine Intelligence 20 (2), 139-154, 1998 | 164 | 1998 |
| Cross domain distribution adaptation via kernel mapping E Zhong, W Fan, J Peng, K Zhang, J Ren, D Turaga, O Verscheure Proceedings of the 15th ACM SIGKDD international conference on Knowledge …, 2009 | 146 | 2009 |
| Large margin nearest neighbor classifiers C Domeniconi, D Gunopulos, J Peng IEEE transactions on neural networks 16 (4), 899-909, 2005 | 131 | 2005 |
| LDA/SVM driven nearest neighbor classification J Peng, DR Heisterkamp, HK Dai Proceedings of the 2001 IEEE Computer Society Conference on Computer Vision …, 2001 | 127 | 2001 |
| Learning feature relevance and similarity metrics in image databases B Bhanu, J Peng, S Qing Proceedings. IEEE Workshop on Content-Based Access of Image and Video …, 1998 | 112 | 1998 |
| SVM vs regularized least squares classification P Zhang, J Peng Proceedings of the 17th International Conference on Pattern Recognition …, 2004 | 88 | 2004 |
| Adaptive policy gradient in multiagent learning B Banerjee, J Peng Proceedings of the second international joint conference on Autonomous …, 2003 | 85 | 2003 |
| Adaptive quasiconformal kernel nearest neighbor classification J Peng, DR Heisterkamp, HK Dai IEEE Transactions on Pattern Analysis and Machine Intelligence 26 (5), 656-661, 2004 | 81 | 2004 |
| An adaptive metric machine for pattern classification C Domeniconi, J Peng, D Gunopulos Advances in Neural Information Processing Systems 13, 2000 | 80 | 2000 |
| Comparing linear discriminant analysis and support vector machines I Gokcen, J Peng International Conference on advances in information systems, 104-113, 2002 | 63 | 2002 |
| Classifying idiomatic and literal expressions using topic models and intensity of emotions J Peng, A Feldman, E Vylomova arXiv preprint arXiv:1802.09961, 2018 | 60 | 2018 |
| Efficient dynamic programming-based learning for control J Peng Northeastern University, 1993 | 59 | 1993 |
| Performance bounded reinforcement learning in strategic interactions B Banerjee, J Peng AAAI 4, 2-7, 2004 | 58 | 2004 |
