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184
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ECAI
2010
Springer
15 years 4 months ago
Learning conditionally lexicographic preference relations
Abstract. We consider the problem of learning a user's ordinal preferences on a multiattribute domain, assuming that her preferences are lexicographic. We introduce a general ...
Richard Booth, Yann Chevaleyre, Jérôm...
178
Voted
TCS
2010
15 years 26 days ago
Parametric random generation of deterministic tree automata
Uniform random generators deliver a simple empirical means to estimate the average complexity of an algorithm. We present a general rejection algorithm that generates sequential l...
Pierre-Cyrille Héam, Cyril Nicaud, Sylvain ...
ECCC
2011
217views ECommerce» more  ECCC 2011»
14 years 9 months ago
ReachFewL = ReachUL
We show that two complexity classes introduced about two decades ago are equal. ReachUL is the class of problems decided by nondeterministic log-space machines which on every inpu...
Brady Garvin, Derrick Stolee, Raghunath Tewari, N....
SIGACT
2008
103views more  SIGACT 2008»
15 years 6 months ago
Computational geometry column 50
Two long-open problems have been solved: (1) every sufficiently large planar point set in general position contains the vertices of an empty hexagon; (2) every finite collection o...
Joseph O'Rourke
CI
2005
106views more  CI 2005»
15 years 6 months ago
Incremental Learning of Procedural Planning Knowledge in Challenging Environments
Autonomous agents that learn about their environment can be divided into two broad classes. One class of existing learners, reinforcement learners, typically employ weak learning ...
Douglas J. Pearson, John E. Laird