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116
Voted
ICRA
2008
IEEE
197views Robotics» more  ICRA 2008»
15 years 9 months ago
A Bayesian framework for optimal motion planning with uncertainty
— Modeling robot motion planning with uncertainty in a Bayesian framework leads to a computationally intractable stochastic control problem. We seek hypotheses that can justify a...
Andrea Censi, Daniele Calisi, Alessandro De Luca, ...
FOCS
1990
IEEE
15 years 6 months ago
Separating Distribution-Free and Mistake-Bound Learning Models over the Boolean Domain
Two of the most commonly used models in computational learning theory are the distribution-free model in which examples are chosen from a fixed but arbitrary distribution, and the ...
Avrim Blum
121
Voted
SODA
2008
ACM
96views Algorithms» more  SODA 2008»
15 years 4 months ago
Unconditionally reliable message transmission in directed networks
In the unconditionally reliable message transmission (URMT) problem, two non-faulty players, the sender S and the receiver R are part of a synchronous network modeled as a directe...
Bhavani Shankar, Prasant Gopal, Kannan Srinathan, ...
SC
2000
ACM
15 years 6 months ago
A Comparison of Three Programming Models for Adaptive Applications on the Origin2000
Adaptive applications have computational workloads and communication patterns which change unpredictably at runtime, requiring dynamic load balancing to achieve scalable performan...
Hongzhang Shan, Jaswinder Pal Singh, Leonid Oliker...
MVA
1990
15 years 3 months ago
Edge Visibility Regions - A New Representation of the Environment of a Mobile Robot
This paper proposes a novel representation of the free space of mobile robot by distinct, non-overlapping regions called Edge Visibility Regions (EVRs). An algorithm to partition ...
Raj Talluri, J. K. Aggarwal