— We discuss sparse support vector machines (sparse SVMs) trained in the reduced empirical feature space. Namely, we select the linearly independent training data by the Cholesky...
— Uncertain data are inherent in many applications such as environmental surveillance and quantitative economics research. Recently, considerable research efforts have been put i...
This paper studies the difference between Persistent Random Constants (PRC) and Digit Concatenation as methods for generating constants. It has been shown that certain problems hav...
Jonathan Byrne, Michael O'Neill, Erik Hemberg, Ant...
At current on-line shops, buyers almost independently enjoy shopping without anyone's help. However, there are many cases where they cooperate with people such as personal ad...
Development of advanced anomaly detection and failure diagnosis technologies for spacecraft is a quite significant issue in the space industry, because the space environment is ha...