Finding Minimum‐Cost Explanations for Predictions Made by Tree Ensembles
ABSTRACT The ability to reliably explain why a machine learning model arrives at a particular prediction is crucial when used as decision support by human operators of critical systems. The provided explanations must be provably correct, and preferably without redundant information, called minimal explanations.
John Törnblom +2 more
wiley +1 more source
A Monte Carlo-Based Framework for Two-Stage Stochastic Programming: Application to Bond Portfolio Optimization. [PDF]
Albaqami H, Mrad M, Gharbi A, Subasi MM.
europepmc +1 more source
A Resource Efficient Ising Model‐Based Quantum Sudoku Solver
ABSTRACT Background Quantum algorithms exploit superposition and parallelism to address complex combinatorial problems, many of which fall into the non‐polynomial (NP) class. Sudoku, a widely known logic‐based puzzle, is proven to be NP‐complete and thus presents a suitable testbed for exploring quantum optimization approaches.
Wen‐Li Wang +5 more
wiley +1 more source
Optimizing Cooperative Community Hospital Selection for Post-Discharge Care with NSGA-II Algorithm. [PDF]
Wu Z, Li Y, Lu X.
europepmc +1 more source
Converting an Integer to a Decimal String in Under Two Nanoseconds
ABSTRACT Objective Converting binary integers to variable‐length decimal strings is a fundamental operation in computing. Conventional fast approaches rely on recursive division and small lookup tables. The goal of this work is to develop a significantly faster method for this task.
Jaël Champagne Gareau, Daniel Lemire
wiley +1 more source
Research on joint vehicle routing optimization considering multiple distribution centers. [PDF]
Liu D, Li M, Lei Y, Yu P, Li B, Tang S.
europepmc +1 more source
Bath Vibration During Open Eye Formation in a Physical Model of a Steelmaking Ladle
Using a physical model, this study shows that vibration measurements reliably predict open eye size in steelmaking ladles, offering a practical alternative to visual monitoring. Vessel vibrations stabilize faster than the open eye, except at high frequencies near the bottom.
Mika Pylvänäinen +6 more
wiley +1 more source
A Novel Approach to Energy Management in Electric Steelworks
Feed‐forward neural networks are exploited to estimate electric energy consumptions of the electric arc furnace and ladle furnace processes. The models are used to optimize production schedule so that more energy intensive grades are produced when the cost of energy is lower.
Valentina Colla +12 more
wiley +1 more source
Portfolio Optimization: A Neurodynamic Approach Based on Spiking Neural Networks. [PDF]
Khan AH, Mohammed AM, Li S.
europepmc +1 more source
Mixed integer programming model for optimizing the layout of an ICU vehicle. [PDF]
Alejo JS +3 more
europepmc +1 more source

