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FLAIRS
2003
13 years 10 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
MASCOTS
2001
13 years 10 months ago
BRITE: An Approach to Universal Topology Generation
Effective engineering of the Internet is predicated upon a detailed understanding of issues such as the large-scale structure of its underlying physical topology, the manner in wh...
Alberto Medina, Anukool Lakhina, Ibrahim Matta, Jo...
NIPS
2004
13 years 10 months ago
Active Learning for Anomaly and Rare-Category Detection
We introduce a novel active-learning scenario in which a user wants to work with a learning algorithm to identify useful anomalies. These are distinguished from the traditional st...
Dan Pelleg, Andrew W. Moore
SCS
2004
13 years 10 months ago
Complex Reactive Real Time Systems and the Safety Case
Complex reactive real time systems are systems of systems that interact with the external world to perform selections of tasks in real time. They may be required to carry out sele...
Gordon R. Stone
IJCAI
2003
13 years 10 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...