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NETWORKING
2007
13 years 10 months ago
Optimization Models for the Radio Planning of Wireless Mesh Networks
In this paper we propose novel optimization models for the planning of Wireless Mesh Networks whose objective is to minimize the network installation cost, while providing full cov...
Edoardo Amaldi, Antonio Capone, Matteo Cesana, Fed...
CSDA
2006
142views more  CSDA 2006»
13 years 9 months ago
Automatic approximation of the marginal likelihood in non-Gaussian hierarchical models
Fitting of non-Gaussian hierarchical random effects models by approximate maximum likelihood can be made automatic to the same extent that Bayesian model fitting can be automated ...
Hans J. Skaug, David A. Fournier
ICTAI
2006
IEEE
14 years 2 months ago
Intelligent Optimization via Learnable Evolution Model
A new method for optimizing complex functions and systems is described that employs Learnable Evolution Model (LEM), a form of non-Darwinian evolutionary computation guided by mac...
Ryszard S. Michalski, Janusz Wojtusiak, Kenneth A....
AROBOTS
1999
104views more  AROBOTS 1999»
13 years 8 months ago
Reinforcement Learning Soccer Teams with Incomplete World Models
We use reinforcement learning (RL) to compute strategies for multiagent soccer teams. RL may pro t signi cantly from world models (WMs) estimating state transition probabilities an...
Marco Wiering, Rafal Salustowicz, Jürgen Schm...
HASKELL
2006
ACM
14 years 2 months ago
Strong types for relational databases
Haskell’s type system with multi-parameter constructor classes and functional dependencies allows static (compile-time) computations to be expressed by logic programming on the ...
Alexandra Silva, Joost Visser