Control methods are being used increasingly for uncertainty management and QoS in modern web server systems. Previous approaches have suggested combined feedforward and feedback c...
Spectral feature selection identifies relevant features by measuring their capability of preserving sample similarity. It provides a powerful framework for both supervised and uns...
We present a new family of linear time algorithms based on sufficient statistics for string comparison with mismatches under the string kernels framework. Our algorithms improve t...
We consider the task of aggregating beliefs of several experts. We assume that these beliefs are represented as probability distributions. We argue that the evaluation of any aggr...
Traditional benchmarking methods for information retrieval (IR) are based on experimental performance evaluation. Although the metrics precision and recall can measure the perform...
Dawei Song, Kam-Fai Wong, Peter Bruza, Chun Hung C...