ATPVivaUndefTerms1

Deterministic Process (time- or trial-series)

Answer explanation

• A time or trial series where present states completely determine future states of a system, because there are no random processes.

• Random Process (time- or trial-series)

Answer explanation

A time or trial series where present states cannot determine future states of a system, because of random processes.

• Time Series

Answer explanation

A sequence of measurements of behaviour taken at repeated (usually regular) intervals of time.

Cross Recurrence Analysis

Answer explanation

A technique used to examine the recurring patterns between two different time or trial series, indicating how their dynamics are related.

• Pink Noise

Answer explanation

A self-similar, long-range correlated time or trials series variability common in healthy biological systems.

White noise

Answer explanation

A random, non-correlated, non-similar time or trial series variability or temporal structure.

Dynamical System (formal

definition)

Answer explanation

A set of rules or equations that determine (define) the future state of a system given the system’s current state.

1. Nonlinear Transition

Answer explanation

An abrupt change in a state when the input leads to a disproportionate and rapid shift in the output.

1. Class

Answer explanation

In machine learning, the class is the variable to be predicted for classification problems.

1. Features

Answer explanation

1. In machine learning, features are individual measurable properties or characteristics of the phenomena being observed.