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ICML
2007
IEEE
15 years 10 months ago
Multi-task reinforcement learning: a hierarchical Bayesian approach
We consider the problem of multi-task reinforcement learning, where the agent needs to solve a sequence of Markov Decision Processes (MDPs) chosen randomly from a fixed but unknow...
Aaron Wilson, Alan Fern, Soumya Ray, Prasad Tadepa...
SP
1999
IEEE
184views Security Privacy» more  SP 1999»
15 years 1 months ago
A Data Mining Framework for Building Intrusion Detection Models
There is often the need to update an installed Intrusion Detection System (IDS) due to new attack methods or upgraded computing environments. Since many current IDSs are construct...
Wenke Lee, Salvatore J. Stolfo, Kui W. Mok
CRIWG
2004
14 years 11 months ago
CreEx: A Framework for Creativity in Cooperative Problem Solving
Abstract. Creativity has become an important factor in recent years, as companies need to be able to quickly adapt to take advantage of new opportunities and handle fast paced chan...
Adriana Santarosa Vivacqua, Jano Moreira de Souza
AUSAI
2005
Springer
15 years 3 months ago
Adaptive Utility-Based Scheduling in Resource-Constrained Systems
This paper addresses the problem of scheduling jobs in soft real-time systems, where the utility of completing each job decreases over time. We present a utility-based framework fo...
David Vengerov
WWW
2004
ACM
15 years 10 months ago
E-learning personalization based on itineraries and long-term navigational behavior
In this paper we describe a practical framework for studying the navigational behavior of the users of an e-learning environment integrated in a virtual campus. The students navig...
Enric Mor, Julià Minguillón