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IROS
2006
IEEE
121views Robotics» more  IROS 2006»
16 years 19 days ago
Planning and Acting in Uncertain Environments using Probabilistic Inference
— An important problem in robotics is planning and selecting actions for goal-directed behavior in noisy uncertain environments. The problem is typically addressed within the fra...
Deepak Verma, Rajesh P. N. Rao
IJCAI
2003
15 years 8 months ago
Taming Decentralized POMDPs: Towards Efficient Policy Computation for Multiagent Settings
The problem of deriving joint policies for a group of agents that maximize some joint reward function can be modeled as a decentralized partially observable Markov decision proces...
Ranjit Nair, Milind Tambe, Makoto Yokoo, David V. ...
FC
2007
Springer
122views Cryptology» more  FC 2007»
16 years 23 days ago
Mental Models of Security Risks
1 2 There is a critical need in computer security to communicate risks and thereby enable informed decisions by naive users. Yet computer security has not been engaged with the sc...
Farzaneh Asgharpour, Debin Liu, L. Jean Camp
TKDE
2002
148views more  TKDE 2002»
15 years 6 months ago
Parallel Star Join + DataIndexes: Efficient Query Processing in Data Warehouses and OLAP
On-Line Analytical Processing (OLAP) refers to the technologies that allow users to efficiently retrieve data from the data warehouse for decision-support purposes. Data warehouses...
Anindya Datta, Debra E. VanderMeer, Krithi Ramamri...
JMLR
2010
173views more  JMLR 2010»
15 years 1 months ago
Elliptical slice sampling
Many probabilistic models introduce strong dependencies between variables using a latent multivariate Gaussian distribution or a Gaussian process. We present a new Markov chain Mo...
Iain Murray, Ryan Prescott Adams, David J. C. MacK...