2 papers
cs.LG2026
Towards Truly Unsupervised Evaluation of Feature Selection
Hafiz Saud Arshad, Muhammad Rajabinasab, Arthur Zimek
Feature selection is one of the most important and fundamental tasks in data mining, tackled by a family of methods with an established set of evaluation techniques to measure the…
quant-ph2026
Heuristics for multi-stage quantum walks to find Ising ground states
Asa Hopkins, Viv Kendon
One way to approximate a quantum annealing schedule is to use multiple quantum walks chained together, without intermediate measurements, to produce a multi-stage quantum walk (MSQ…