Hidden geometry explains why kernel methods separate complex data so well

Are two sets of data genuinely different, or is it because of randomness? This question, known as the two-sample testing problem, becomes notoriously difficult in modern datasets, because they are ...
IEEE

Quantum Walk based genetic algorithm for 0–1 quadratic knapsack problem

Abstract: This paper proposes a genetic quantum algorithm based on discrete time quantum walk (QWGA) to solve 0-1 quadratic knapsack problem. Genetic Quantum Algorithms makes use of the qubit ...
scienceopen.com

Multi-Objective Combinatorial Reconfiguration Considering Cost and Length by Answer Set Programming: Algorithms, Encodings, and Empirical Analysis

There is no author summary for this book yet. Authors can add summaries to their books on ScienceOpen to make them more accessible to a non-specialist audience. We introduce the Multi-Objective ...
The Drum

Your brand must be available physically, mentally and now for the AI algorithm

The widespread adoption of AI has resulted in the need for a third pillar of marketing effectiveness alongside physical and mental availability: do not neglect to be accessible by the algorithm, ...
Ars Technica

Here’s the paper no one read before declaring the demise of modern cryptography

There’s little doubt that some of the most important pillars of modern cryptography will tumble spectacularly once quantum computing, now in its infancy, matures sufficiently. Some experts say that ...
Scientific Research Publishing

Stock Type Prediction Based on Multiple Machine Learning Methods ()

Stocks in the Chinese stock market can be divided into ST stocks and normal stocks, so to prevent investors from buying potential ST stocks, this paper first performs SMOTEENN oversampling data ...
Frontiers

Enhancing multi-objective evolutionary algorithms with machine learning for scheduling problems: recent advances and survey

Multi-objective scheduling problems in workshops are commonly encountered challenges in the increasingly competitive market economy. These scheduling problems require a trade-off among multiple ...
Barron's

The Algorithms That Explain Our World Are Broken

This copy is for your personal, non-commercial use only. Distribution and use of this material are governed by our Subscriber Agreement and by copyright law. For non-personal use or to order multiple ...
IEEE

Leveraging Knapsack QAOA Approach for Optimal Electric Vehicle Charging

Abstract: The electric vehicle (EV) industry is currently afflicted with inefficient charging systems. Considering the growing adoption of EVs, optimization strategies for efficient charging, and ...