| Turning Bayesian model averaging into Bayesian model combination K Monteith, JL Carroll, K Seppi, T Martinez The 2011 international joint conference on neural networks, 2657-2663, 2011 | 128 | 2011 |
| Active learning for part-of-speech tagging: Accelerating corpus annotation E Ringger, P McClanahan, R Haertel, G Busby, M Carmen, J Carroll, ... Proceedings of the Linguistic Annotation Workshop, 101-108, 2007 | 100 | 2007 |
| Return on investment for active learning RA Haertel, KD Seppi, EK Ringger, JL Carroll Proceedings of the NIPS workshop on cost-sensitive learning 72, 2008 | 77 | 2008 |
| Capture-gated neutron spectrometry JB Czirr, DB Merrill, D Buehler, TK McKnight, JL Carroll, T Abbott, ... Nuclear Instruments and Methods in Physics Research Section A: Accelerators …, 2002 | 76 | 2002 |
| Task similarity measures for transfer in reinforcement learning task libraries JL Carroll, K Seppi Proceedings. 2005 IEEE International Joint Conference on Neural Networks …, 2005 | 71 | 2005 |
| Assessing the costs of machine-assisted corpus annotation through a user study. EK Ringger, M Carmen, R Haertel, KD Seppi, D Lonsdale, P McClanahan, ... LREC 8, 3318-3324, 2008 | 68 | 2008 |
| Assessing the costs of sampling methods in active learning for annotation R Haertel, E Ringger, K Seppi, J Carroll, P McClanahan Proceedings of ACL-08: HLT, Short Papers, 65-68, 2008 | 64 | 2008 |
| Fixed vs. dynamic sub-transfer in reinforcement learning J Carroll, T Peterson Proceedings of the International Conference on Machine Learning and Applications, 2002 | 31 | 2002 |
| Towards automatic shaping in robot navigation TS Peterson, NE Owens, JL Carroll Proceedings 2001 ICRA. IEEE International Conference on Robotics and …, 2001 | 27* | 2001 |
| Memory-guided exploration in reinforcement learning JL Carroll, TS Peterson, NE Owens IJCNN'01. International Joint Conference on Neural Networks. Proceedings …, 2001 | 25 | 2001 |
| A bayesian decision theoretical approach to supervised learning, selective sampling, and empirical function optimization JL Carroll Brigham Young University, 2010 | 16 | 2010 |
| No-free-lunch and Bayesian optimality JL Carroll, KD Seppi IJCNN Workshop on Meta-Learning, 2007 | 15 | 2007 |
| VELO Module Production-Module Assembly JL Carroll, T Huse | 12 | 2007 |
| Reactions to victims. New approaches to social problems D Coates, C Wortman, A Abbey, I Frieze, D Bar-Tal, J Carroll San Francisco: Jossey Bass, 1979 | 12 | 1979 |
| Modeling the Annotation Process for Ancient Corpus JL Carroll, R Haertel, P McClanahan, E Ringger, K Seppi Proceedings of the International Conference of Electronic Corpora of Ancient …, 2007 | 11* | 2007 |
| The reconciliation of Adam and Israelite temples JL Carroll Studia Antiqua 3 (1), 8, 2003 | 11 | 2003 |
| Reinforcement learning task clustering (rltc) JL Carroll, T Peterson, K Seppi Proc. of ICMLA, 2003 | 7 | 2003 |
| A bayesian CMAC for high assurance learning JL Carroll, KD Seppi Applications of Neural Networks in High-Assurance Systems, NASA-IJCNN Workshop, 2007 | 6 | 2007 |
| A utile function optimizer CK Monson, KD Seppi, JL Carroll 2007 IEEE Congress on Evolutionary Computation, 1067-1074, 2007 | 5 | 2007 |
| Task localization, similarity, and transfer; towards a reinforcement learning task library system JL Carroll Brigham Young University-Provo, 2005 | 5 | 2005 |
Kevin SeppiProfessor of Computer Science, Brigham Young UniversityVerified email at cs.byu.edu
