Abstract: Continuous human motion intent learning may be modeled using a Gaussian process (GP) autoregression based evolving system to cope with the unspecified and time-varying motion patterns.

Adam Hayes, Ph.D., CFA, is a financial writer with 15+ years Wall Street experience as a derivatives trader. Besides his extensive derivative trading expertise, Adam is an expert in economics and ...

Imagine a network, like a socialnetwork or a system of connected devices, is being observed over time. Each node in this network has certain measurements attached to it that can change, like the ...

$$\text{if} \ \ \left( \theta_n \right)_{ n \in \mathbb{N} } \ \ \text{is such that} \ \ \zeta \equiv c \in \mathbb{R} \ \ \text{and it holds that} \ \ \theta_n \to ...

Create a virtualenv. Samples are compatible with Python 3.6+. python3 -m venv env source env/bin/activate Install the dependencies needed to run the samples.