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ECML
2006
Springer
14 years 2 months ago
Why Is Rule Learning Optimistic and How to Correct It
Abstract. In their search through a huge space of possible hypotheses, rule induction algorithms compare estimations of qualities of a large number of rules to find the one that ap...
Martin Mozina, Janez Demsar, Jure Zabkar, Ivan Bra...
FOCS
2000
IEEE
14 years 2 months ago
How Bad is Selfish Routing?
We consider the problem of routing traffic to optimize the performance of a congested network. We are given a network, a rate of traffic between each pair of nodes, and a latency ...
Tim Roughgarden, Éva Tardos
NPL
2006
82views more  NPL 2006»
13 years 10 months ago
How Online Learning Approaches Ornstein Uhlenbeck Processes
We show that under reasonable conditions, online learning for a nonlinear function near a local minimum is similar to a multivariate Ornstein Uhlenbeck process. This implies that ...
Fredrik A. Dahl
ICFP
2012
ACM
12 years 1 months ago
Functional programming with structured graphs
This paper presents a new functional programming model for graph structures called structured graphs. Structured graphs extend conventional algebraic datatypes with explicit defi...
Bruno C. d. S. Oliveira, William R. Cook
AAAI
2006
14 years 9 days ago
Functional Value Iteration for Decision-Theoretic Planning with General Utility Functions
We study how to find plans that maximize the expected total utility for a given MDP, a planning objective that is important for decision making in high-stakes domains. The optimal...
Yaxin Liu, Sven Koenig