We present a comprehensive case study comparing the performance of D-Wav...
Methods of artificial intelligence (AI) and especially machine learning ...
We propose a novel definition of Shapley values with uncertain value
fun...
In machine learning, fewer features reduce model complexity. Carefully
a...
Recent advances in practical quantum computing have led to a variety of
...
We propose a quantum representation of binary classification trees with
...
We propose a novel supervised multi-class/single-label classifier that m...
We present a novel adaptive optimization algorithm for black-box
multi-o...
Using data from a simulated cup drawing process, we demonstrate how the
...
We address a non-unique parameter fitting problem in the context of mate...
In complex simulation environments, certain parameter space regions may
...