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ICMLA
2003
13 years 9 months ago
Reinforcement Learning Task Clustering
This work represents the first step towards a task library system in the reinforcement learning domain. Task libraries could be useful in speeding up the learning of new tasks th...
James L. Carroll, Todd S. Peterson, Kevin D. Seppi
IJCAI
2003
13 years 9 months ago
Definition and Complexity of Some Basic Metareasoning Problems
In most real-world settings, due to limited time or other resources, an agent cannot perform all potentially useful deliberation and information gathering actions. This leads to t...
Vincent Conitzer, Tuomas Sandholm
ISCAPDCS
2003
13 years 8 months ago
A Super-Peer Based Lookup in Structured Peer-to-Peer Systems
All existing lookup algorithms in structured peerto-peer (P2P) systems assume that all peers are uniform in resources (e.g., network bandwidth, storage and CPU). Messages are rout...
Yingwu Zhu, Honghao Wang, Yiming Hu
MASCOTS
2003
13 years 8 months ago
Small-World Characteristics of the Internet and Multicast Scaling
Recent work has shown that the physical connectivity of the Internet exhibits small-world behavior. Characterizing such behavior is important not only for generating realistic Int...
Shudong Jin, Azer Bestavros
SDM
2003
SIAM
134views Data Mining» more  SDM 2003»
13 years 8 months ago
Hierarchical Document Clustering using Frequent Itemsets
A major challenge in document clustering is the extremely high dimensionality. For example, the vocabulary for a document set can easily be thousands of words. On the other hand, ...
Benjamin C. M. Fung, Ke Wang, Martin Ester