Kernel methods provide an efficient mechanism to derive nonlinear algorithms. In classification problems as well as in feature extraction, kernel-based approaches map the original...
End-to-end packet-pair probing has been used as one of the primary mechanisms to measure bottleneck capacity, crosstraffic intensity, and available bandwidth of end-to-end Internet...
Xiliang Liu, Kaliappa Nadar Ravindran, Dmitri Logu...
Policy Reuse is a reinforcement learning technique that efficiently learns a new policy by using past similar learned policies. The Policy Reuse learner improves its exploration b...
Multimedia communication systems require not only high-performance computer hardware and highspeed networks, but also a buffer management mechanism to process voluminous data effi...
In the paper we describe the problem of grouping and aggregation in the concept-oriented data model. The model is based on ordering its elements within a hierarchical multidimensi...