Meta-Learning has been used to relate the performance of algorithms and the features of the problems being tackled. The knowledge in Meta-Learning is acquired from a set of meta-e...
In this paper, we present a novel deployment-time binding selection framework for Web services to improve the performance. Using the information about target environments, we dete...
Sang Jeong Lee, Kyung Dong Ryu, Kang-Won Lee, Jong...
Convolution kernels, such as sequence and tree kernels, are advantageous for both the concept and accuracy of many natural language processing (NLP) tasks. Experiments have, howev...
For many years, C has been known as a fast, yet unfriendly language. Similarly, Java presents its own trade-offs, including more advanced language features at the cost of slower ex...
We consider the problem of automated index selection for embedded control programs (ECPs). Such systems have the property that the transaction types, which can consist of queries ...