In an elementary approach to probability, any subset of the sample space is usually called an event. However, this gives rise to problems when the sample space is infinite, so that a more precise definition of event is necessary. Under this definition only measurable subsets of the sample space, constituting a σ-algebra over the sample space itself, are considered events. However, this has essentially only theoretical significance, since in general the σ-algebra can always be defined to include all subsets of interest in applications.
A feature-selective independent component analysis method for functional MRI.(Research Article)(magnetic resonance imaging)(Report)
Jan 01, 2007; In this work, we propose a simple and effective scheme to incorporate prior knowledge about the sources of interest (SOIs) in...