Abstract. The support vector machine is basically to deal with a two-class classification problem. To get M-class classifiers for face recognition, it is common to construct a set ...
— Using the 1998 DARPA BSM data set collected at MIT’s Lincoln Labs to study intrusion detection systems, the performance of robust support vector machines (RVSMs) was compared...
: This paper presents an experimental module for teaching finite state machine concepts. This module is designed for use in a lecture-based course that does not currently have a la...
We compare different strategies to apply statistical machine translation techniques in order to retrieve documents which are a plausible translation of a given source document. Fi...
Recently, many applications for Restricted Boltzmann Machines (RBMs) have been developed for a large variety of learning problems. However, RBMs are usually used as feature extrac...