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FOCS
2009
IEEE
13 years 5 months ago
Learning and Smoothed Analysis
We give a new model of learning motivated by smoothed analysis (Spielman and Teng, 2001). In this model, we analyze two new algorithms, for PAC-learning DNFs and agnostically learn...
Adam Tauman Kalai, Alex Samorodnitsky, Shang-Hua T...
AAAI
1996
13 years 9 months ago
Rewarding Behaviors
Markov decision processes (MDPs) are a very popular tool for decision theoretic planning (DTP), partly because of the welldeveloped, expressive theory that includes effective solu...
Fahiem Bacchus, Craig Boutilier, Adam J. Grove
FOCI
2007
IEEE
14 years 2 months ago
A New Reduction from 3SAT to n-Partite Graphs
— The Constraint Satisfaction Problem (CSP) is one of the most prominent problems in artificial intelligence, logic, theoretical computer science, engineering and many other are...
Daniel J. Hulme, Robin Hirsch, Bernard F. Buxton, ...
IJRR
2007
75views more  IJRR 2007»
13 years 7 months ago
Surveillance Strategies for a Pursuer with Finite Sensor Range
This paper addresses the pursuit-evasion problem of maintaining surveillance by a pursuer of an evader in a world populated by polygonal obstacles. This requires the pursuer to pl...
Rafael Murrieta-Cid, Teja Muppirala, Alejandro Sar...
WABI
2007
Springer
139views Bioinformatics» more  WABI 2007»
14 years 1 months ago
Computability of Models for Sequence Assembly
Graph-theoretic models have come to the forefront as some of the most powerful and practical methods for sequence assembly. Simultaneously, the computational hardness of the underl...
Paul Medvedev, Konstantinos Georgiou, Gene Myers, ...