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AAAI
2008
14 years 29 days ago
Hypothesis Pruning and Ranking for Large Plan Recognition Problems
This paper addresses the problem of plan recognition for multi-agent teams. Complex multi-agent tasks typically require dynamic teams where the team membership changes over time. ...
Gita Sukthankar, Katia P. Sycara
NIPS
2007
14 years 1 days ago
What makes some POMDP problems easy to approximate?
Point-based algorithms have been surprisingly successful in computing approximately optimal solutions for partially observable Markov decision processes (POMDPs) in high dimension...
David Hsu, Wee Sun Lee, Nan Rong
SODA
2004
ACM
104views Algorithms» more  SODA 2004»
14 years 7 hour ago
Tight bounds for the partial-sums problem
We close the gaps between known lower and upper bounds for the online partial-sums problem in the RAM and group models of computation. If elements are chosen from an abstract grou...
Mihai Patrascu, Erik D. Demaine
WSC
2004
14 years 3 hour ago
Visual Modeling of Business Problems: Workflow and Patterns
Computer-based business analysis relies on models, or algorithmic representations of the business process. Real-life business problems can become very complex, which creates diffi...
Lev Virine, Jason McVean
ALT
2011
Springer
12 years 10 months ago
On Noise-Tolerant Learning of Sparse Parities and Related Problems
We consider the problem of learning sparse parities in the presence of noise. For learning parities on r out of n variables, we give an algorithm that runs in time poly log 1 δ , ...
Elena Grigorescu, Lev Reyzin, Santosh Vempala