Nearest neighbor classifier is a widely-used effective method for multi-class problems. However, it suffers from the problem of the curse of dimensionality in high dimensional spac...
Guo-Jun Zhang, Ji-Xiang Du, De-Shuang Huang, Tat-M...
To facilitate the design of large-scale, self-adaptive systems, we have developed the Port-Based Adaptable Agent Architecture. This distributed, multiagent architecture allows syst...
Kevin R. Dixon, Theodore Q. Pham, Pradeep K. Khosl...
We propose a non-data-aided adaptive beamforming algorithm based on Widely Linear (WL) processing techniques and the Auxiliary Vector Filtering (AVF) algorithm for non-circular si...
Nuan Song, Jens Steinwandt, Lei Wang, Rodrigo C. d...
Regression or least squares fitting is an important problem in statistics, data mining and many other applications. In recent years, basis functions derived from the underlying g...
Dynamic AOP has been identified as a useful technique to implement an auto-adaptive framework. To supplement this policies based upon EventCondition-Action rules are used to specif...