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ACMICEC
2006
ACM
110views ECommerce» more  ACMICEC 2006»
13 years 11 months ago
Learning inventory management strategies for commodity supply chains with customer satisfaction
In this paper, we look at a supply chain of commodity goods where customer demand is uncertain and partly based on reputation, and where raw material replenishment is uncertain in...
Jeroen van Luin, Han La Poutré, J. Will M. ...
IWANN
2005
Springer
14 years 1 months ago
Co-evolutionary Learning in Liquid Architectures
A large class of problems requires real-time processing of complex temporal inputs in real-time. These are difficult tasks for state-of-the-art techniques, since they require captu...
Igal Raichelgauz, Karina Odinaev, Yehoshua Y. Zeev...
ICML
2001
IEEE
14 years 8 months ago
Continuous-Time Hierarchical Reinforcement Learning
Hierarchical reinforcement learning (RL) is a general framework which studies how to exploit the structure of actions and tasks to accelerate policy learning in large domains. Pri...
Mohammad Ghavamzadeh, Sridhar Mahadevan
CE
2006
123views more  CE 2006»
13 years 7 months ago
Conceptual and socio-cognitive support for collaborative learning in videoconferencing environments
Studies have shown that videoconferencing is an effective medium for facilitating communication between parties who are separated by distance, particularly when learners are engag...
Bernhard Ertl, Frank Fischer, Heinz Mandl
ICA
2012
Springer
12 years 3 months ago
On Revealing Replicating Structures in Multiway Data: A Novel Tensor Decomposition Approach
A novel tensor decomposition called pattern or P-decomposition is proposed to make it possible to identify replicating structures in complex data, such as textures and patterns in ...
Anh Huy Phan, Andrzej Cichocki, Petr Tichavsk&yacu...