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Brian D Ziebart
Brian D Ziebart
Associate Professor of Computer Science, University of Illinois at Chicago
Geverifieerd e-mailadres voor uic.edu - Homepage
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Maximum Entropy Inverse Reinforcement Learning
BD Ziebart, AL Maas, JA Bagnell, AK Dey
AAAI Conference on Artificial Intelligence, 1433-1438, 2008
26722008
Activity forecasting
KM Kitani, BD Ziebart, JA Bagnell, M Hebert
European Conference on Computer Vision (ECCV), 201-214, 2012
8182012
Planning-based prediction for pedestrians
BD Ziebart, N Ratliff, G Gallagher, C Mertz, K Peterson, JA Bagnell, ...
International Conference on Intelligent Robots and Systems (IROS), 3931-3936, 2009
5822009
Modeling Purposeful Adaptive Behavior with the Principle of Maximum Causal Entropy
BD Ziebart
Carnegie Mellon University, 2010
4452010
Navigate like a cabbie: Probabilistic reasoning from observed context-aware behavior
BD Ziebart, AL Maas, AK Dey, JA Bagnell
International Conference on Ubiquitous Computing (Ubicomp), 322-331, 2008
3682008
Modeling interaction via the principle of maximum causal entropy
BD Ziebart, JA Bagnell, AK Dey
International Conference on Machine Learning (ICML), 1247-1254, 2010
2602010
System, method and device for predicting navigational decision-making behavior
AK Dey, JA Bagnell, BD Ziebart
US Patent 8,478,642, 2013
2572013
Robust classification under sample selection bias
A Liu, B Ziebart
Advances in Neural Information Processing Systems (NIPS), 37-45, 2014
1232014
Probabilistic pointing target prediction via inverse optimal control
B Ziebart, A Dey, JA Bagnell
International Conference on Intelligent User Interfaces (IUI), 1-10, 2012
1062012
TherML: occupancy prediction for thermostat control
C Koehler, BD Ziebart, J Mankoff, AK Dey
Pervasive and Ubiquitous Computing (Ubicomp), 103-112, 2013
882013
Computational rationalization: The inverse equilibrium problem
K Waugh, BD Ziebart, JA Bagnell
arXiv preprint arXiv:1308.3506, 2013
772013
Towards a pervasive computing benchmark
A Ranganathan, J Al-Muhtadi, J Biehl, B Ziebart, RH Campbell, B Bailey
Pervasive Computing and Communications Workshops, 194-198, 2005
762005
Human Behavior Modeling with Maximum Entropy Inverse Optimal Control
BD Ziebart, AL Maas, JA Bagnell, AK Dey
AAAI Spring Symposium: Human Behavior Modeling, 92-, 2009
742009
The principle of maximum causal entropy for estimating interacting processes
BD Ziebart, JA Bagnell, AK Dey
IEEE Transactions on Information Theory 59 (4), 1966-1980, 2013
672013
Robust covariate shift regression
X Chen, M Monfort, A Liu, BD Ziebart
Artificial Intelligence and Statistics, 1270-1279, 2016
602016
Intent Prediction and Trajectory Forecasting via Predictive Inverse Linear-Quadratic Regulation
M Monfort, A Liu, BD Ziebart
AAAI Conference on Artificial Intelligence, 2015
582015
Both nearest neighbours and long-term affiliates predict individual locations during collective movement in wild baboons
DR Farine, A Strandburg-Peshkin, T Berger-Wolf, B Ziebart, I Brugere, J Li, ...
Scientific reports 6 (1), 1-10, 2016
552016
A sense-topic model for word sense induction with unsupervised data enrichment
J Wang, M Bansal, K Gimpel, BD Ziebart, CT Yu
Transactions of the Association for Computational Linguistics 3, 59-71, 2015
542015
Leveraging Machine Learning to Improve Unwanted Resource Filtering
S Bhagavatula, C Dunn, C Kanich, M Gupta, B Ziebart
Workshop on Artificial Intelligent and Security, 95-102, 2014
522014
Adversarial Cost-Sensitive Classification
K Asif, W Xing, S Behpour, BD Ziebart
Uncertainty in Artificial Intelligence, 2015
512015
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Artikelen 1–20