Results 181 to 190 of about 159,874 (284)

Finding Minimum‐Cost Explanations for Predictions Made by Tree Ensembles

open access: yesSoftware: Practice and Experience, EarlyView.
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 Resource Efficient Ising Model‐Based Quantum Sudoku Solver

open access: yesSoftware: Practice and Experience, EarlyView.
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

Converting an Integer to a Decimal String in Under Two Nanoseconds

open access: yesSoftware: Practice and Experience, EarlyView.
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

Bath Vibration During Open Eye Formation in a Physical Model of a Steelmaking Ladle

open access: yessteel research international, EarlyView.
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

open access: yessteel research international, EarlyView.
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

Mixed integer programming model for optimizing the layout of an ICU vehicle. [PDF]

open access: yesBMC Health Serv Res, 2009
Alejo JS   +3 more
europepmc   +1 more source

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