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» Learning, Forgetting, and Sales
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146
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EWCBR
2008
Springer
15 years 5 months ago
Forgetting Reinforced Cases
To meet time constraints, a CBR system must control the time spent searching in the case base for a solution. In this paper, we presents the results of a case study comparing the p...
Houcine Romdhane, Luc Lamontagne
231
Voted
ICDE
2006
IEEE
207views Database» more  ICDE 2006»
16 years 5 months ago
Automatic Sales Lead Generation from Web Data
Speed to market is critical to companies that are driven by sales in a competitive market. The earlier a potential customer can be approached in the decision making process of a p...
Ganesh Ramakrishnan, Sachindra Joshi, Sumit Negi, ...
92
Voted
ICALT
2005
IEEE
15 years 9 months ago
Application of Instant Message System in Cooperative Learning
The popularity of instant messaging (IM) system creates a new way for human communication. Along with this trend, IM system is broadly applied in cooperative learning. There isnâ€...
Shih-chen Hsieh, Yu-chen Hsu
130
Voted
ICML
2010
IEEE
15 years 4 months ago
Multi-agent Learning Experiments on Repeated Matrix Games
This paper experimentally evaluates multiagent learning algorithms playing repeated matrix games to maximize their cumulative return. Previous works assessed that Qlearning surpas...
Bruno Bouzy, Marc Métivier
134
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NECO
2010
97views more  NECO 2010»
15 years 2 months ago
Derivatives of Logarithmic Stationary Distributions for Policy Gradient Reinforcement Learning
Most conventional Policy Gradient Reinforcement Learning (PGRL) algorithms neglect (or do not explicitly make use of) a term in the average reward gradient with respect to the pol...
Tetsuro Morimura, Eiji Uchibe, Junichiro Yoshimoto...