Linear and Quadratic Discriminant Analysis have been used widely in many areas of data mining, machine learning, and bioinformatics. Friedman proposed a compromise between Linear ...
One major problem of existing methods to mine data streams is that it makes ad hoc choices to combine most recent data with some amount of old data to search the new hypothesis. T...
Recent studies [13, 18] have shown that clearing schemes are efficient multi-modal optimization methods. They efficiently reduce genetic drift which is the direct reason for prema...
The novel design of an efficient FPGA interconnection architecture with multiple Switch Boxes (SB) and hardwired connections for realizing data intensive applications (i.e. DSP ap...
Test pattern decompression techniques are bounded with the algorithm of test pattern ordering and test data flow controlling. Some of the methods could have more sophisticated sor...