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FLAIRS
2003
15 years 7 months ago
Learning from Reinforcement and Advice Using Composite Reward Functions
1 Reinforcement learning has become a widely used methodology for creating intelligent agents in a wide range of applications. However, its performance deteriorates in tasks with s...
Vinay N. Papudesi, Manfred Huber
SBBD
2004
103views Database» more  SBBD 2004»
15 years 7 months ago
Modelagem de Bibliotecas Digitais usando a Abordagem 5S: Um Estudo de Caso
An enormous amount of information is currently available through specialized services of digital libraries (DLs). However the specification and development of DLs are very complex...
David Patricio Viscarra del Pozo, Lena Veiga e Sil...
IJCAI
2003
15 years 7 months ago
A New Look at the Semantics and Optimization Methods of CP-Networks
Preference elicitation is a serious bottleneck in many decision support applications and agent specification tasks. CP-nets were designed to make the preference elicitation proces...
Ronen I. Brafman, Yannis Dimopoulos
IJCAI
2003
15 years 7 months ago
Statistics Gathering for Learning from Distributed, Heterogeneous and Autonomous Data Sources
With the growing use of distributed information networks, there is an increasing need for algorithmic and system solutions for data-driven knowledge acquisition using distributed,...
Doina Caragea, Jaime Reinoso, Adrian Silvescu, Vas...
IJCAI
2003
15 years 7 months ago
Dynamic Bayesian modeling of the cerebral activity
Conventional methods used for the interpretation of activation data provided by functional neuroimaging techniques provide useful insights on what the networks of cerebral structu...
Vincent Labatut, Josette Pastor, Serge Ruff