Stuart Russell
Stuart Russell
Professor of Computer Science, University of California, Berkeley
Verified email at - Homepage
TitleCited byYear
Artificial intelligence: a modern approach
SJ Russell, P Norvig
Prentice hall, 2010
Artificial intelligence: a modern approach
S Russel, P Norvig
Pearson Education Limited, 2013
Dynamic bayesian networks: representation, inference and learning
KP Murphy, S Russell
University of California, Berkeley, 2002
Distance metric learning with application to clustering with side-information
EP Xing, MI Jordan, SJ Russell, AY Ng
Advances in neural information processing systems, 521-528, 2003
On intelligence: How a new understanding of the brain will lead to the creation of truly intelligent machines
J Hawkins, S Blakeslee
Macmillan, 2007
Inteligência artificial
SJ Russell, P Norvig
Elsevier, 2004
Algorithms for inverse reinforcement learning.
AY Ng, SJ Russell
Icml 1, 663-670, 2000
Introduction to statistical relational learning
D Koller, N Friedman, S Džeroski, C Sutton, A McCallum, A Pfeffer, ...
MIT press, 2007
Rao-Blackwellised particle filtering for dynamic Bayesian networks
A Doucet, N De Freitas, K Murphy, S Russell
arXiv preprint arXiv:1301.3853, 2013
Image segmentation in video sequences: A probabilistic approach
N Friedman, S Russell
arXiv preprint arXiv:1302.1539, 2013
Policy invariance under reward transformations: Theory and application to reward shaping
AY Ng, D Harada, S Russell
ICML 99, 278-287, 1999
Online bagging and boosting
NC Oza
2005 IEEE international conference on systems, man and cybernetics 3, 2340-2345, 2005
Learning the structure of dynamic probabilistic networks
N Friedman, K Murphy, S Russell
arXiv preprint arXiv:1301.7374, 2013
Reinforcement learning with hierarchies of machines
R Parr, SJ Russell
Advances in neural information processing systems, 1043-1049, 1998
Towards robust automatic traffic scene analysis in real-time
D Koller, J Weber, T Huang, J Malik, G Ogasawara, B Rao, S Russell
Proceedings of 12th International Conference on Pattern Recognition 1, 126-131, 1994
Bayesian networks
J Pearl
1 blog: Probabilistic models with unknown objects
B Milch, B Marthi, S Russell, D Sontag, DL Ong, A Kolobov
Statistical relational learning, 373, 2007
Adaptive probabilistic networks with hidden variables
J Binder, D Koller, S Russell, K Kanazawa
Machine Learning 29 (2-3), 213-244, 1997
Artificial intelligence: a modern approach. Malaysia
SJ Russell, P Norvig
Pearson Education Limited, 2016
Do the right thing: studies in limited rationality
SJ Russell, E Wefald
MIT press, 1991
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