Követés
Nan Ye
Nan Ye
E-mail megerősítve itt: uq.edu.au - Kezdőlap
Cím
Hivatkozott rá
Hivatkozott rá
Év
DESPOT: Online POMDP Planning with Regularization
A Somani, N Ye, D Hsu, WS Lee
Advances in Neural Information Processing Systems, 1772-1780, 2013
5452013
Intention-aware online POMDP planning for autonomous driving in a crowd
H Bai, S Cai, N Ye, D Hsu, WS Lee
Robotics and Automation (ICRA), 2015 IEEE International Conference on, 454-460, 2015
3922015
DESPOT: Online POMDP Planning with Regularization
N Ye, A Somani, D Hsu, WS Lee
Journal of Artificial Intelligence Research 58, 231-266, 2017
2212017
Optimizing F-measures: a tale of two approaches
N Ye, KMA Chai, WS Lee, HL Chieu
Proceedings of the International Conference on Machine Learning, 2012
194*2012
Domain adaptive bootstrapping for named entity recognition
D Wu, WS Lee, N Ye, HL Chieu
Proceedings of the 2009 Conference on Empirical Methods in Natural Language …, 2009
832009
Conditional random fields with high-order features for sequence labeling
N Ye, WS Lee, HL Chieu, D Wu
Advances in Neural Information Processing Systems, 2196-2204, 2009
642009
Conditional Random Field with High-order Dependencies for Sequence Labeling and Segmentation
NV Cuong, N Ye, WS Lee, HL Chieu
Journal of Machine Learning Research 15, 981-1009, 2014
622014
Active Learning for Probabilistic Hypotheses Using the Maximum Gibbs Error Criterion
NV Cuong, WS Lee, N Ye, KMA Chai, HL Chieu
Advances in Neural Information Processing Systems, 1457-1465, 2013
492013
Discriminative Particle Filter Reinforcement Learning for Complex Partial Observations
X Ma, P Karkus, D Hsu, WS Lee, N Ye
arXiv preprint arXiv:2002.09884, 2020
392020
A Framework for Solving Explicit Arithmetic Word Problems and Proving Plane Geometry Theorems
X Yu, M Wang, W Gan, B He, N Ye
International Journal of Pattern Recognition and Artificial Intelligence, 2018
362018
Near-optimal Adaptive Pool-based Active Learning with General Loss
NV Cuong, WS Lee, N Ye
UAI, 2014
322014
Optimization Methods for Inverse Problems
N Ye, F Roosta-Khorasani, T Cui
arXiv preprint arXiv:1712.00154, 2017
312017
Nesterov acceleration of alternating least squares for canonical tensor decomposition: Momentum step size selection and restart mechanisms
D Mitchell, N Ye, H De Sterck
Numerical Linear Algebra with Applications, e2297, 2020
222020
Modelling imperfect presence data obtained by citizen science
K Mengersen, EE Peterson, S Clifford, N Ye, J Kim, T Bednarz, R Brown, ...
Environmetrics, 2017
212017
Semi-Markov conditional random field with high-order features
VC Nguyen, N Ye, WS Lee, HL Chieu
ICML Workshop on Structured Sparsity: Learning and Inference, 2011
182011
Revisiting Maximum Entropy Inverse Reinforcement Learning: New Perspectives and Algorithms
AJ Snoswell, SPN Singh, N Ye
IEEE Symposium Series on Computational Intelligence, 2020
152020
Tensor Belief Propagation
A Wrigley, WS Lee, N Ye
International Conference on Machine Learning, 3771-3779, 2017
122017
Nesterov Acceleration of Alternating Least Squares for Canonical Tensor Decomposition
D Mitchell, N Ye, HD Sterck
arXiv preprint arXiv:1810.05846, 2018
112018
On preprocessing and antisymmetry in de novo peptide sequencing: improving efficiency and accuracy
K Ning, N Ye, HW Leong
Journal of bioinformatics and computational biology 6 (03), 467-492, 2008
102008
Prescribed learning of re classes
S Jain, F Stephan, N Ye
Theoretical Computer Science 410 (19), 1796-1806, 2009
92009
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Cikkek 1–20