Results 31 to 40 of about 448,167 (282)

Quantum Zero-Error Algorithms Cannot be Composed [PDF]

open access: yes, 2002
We exhibit two black-box problems, both of which have an efficient quantum algorithm with zero-error, yet whose composition does not have an efficient quantum algorithm with zero-error. This shows that quantum zero-error algorithms cannot be composed. In
Buhrman, Harry, de Wolf, Ronald
core   +4 more sources

Efficient quantum gates and algorithms in an engineered optical lattice

open access: yesScientific Reports, 2021
In this work, trapped ultracold atoms are proposed as a platform for efficient quantum gate circuits and algorithms. We also develop and evaluate quantum algorithms, including those for the Simon problem and the black-box string-finding problem.
A. H. Homid   +3 more
doaj   +1 more source

Revisit Sparse Polynomial Interpolation based on Randomized Kronecker Substitution

open access: yes, 2018
In this paper, a new reduction based interpolation algorithm for black-box multivariate polynomials over finite fields is given. The method is based on two main ingredients.
A Arnold   +17 more
core   +1 more source

The comparison of different PDP-type self-adaptive schemes for the cooperation of GA, DE, and PSO algorithms [PDF]

open access: yesITM Web of Conferences
Many global optimization problems are presented as a black-box model, in which there is no information on the objective function properties. Traditional optimization algorithms usually can't effectively solve that kind of problems.
Sopov Anton, Karaseva Tatiana
doaj   +1 more source

OneMax in Black-Box Models with Several Restrictions

open access: yes, 2015
Black-box complexity studies lower bounds for the efficiency of general-purpose black-box optimization algorithms such as evolutionary algorithms and other search heuristics.
Doerr, Carola, Lengler, Johannes
core   +5 more sources

Opening up the Black Box of Sensor Processing Algorithms through New Visualizations

open access: yesInformatics, 2016
Vehicles and platforms with multiple sensors connect people in multiple roles with different responsibilities to scenes of interest. For many of these human–sensor systems there are a variety of algorithms that transform, select, and filter the sensor ...
Alexander M. Morison, David D. Woods
doaj   +1 more source

An ADMM Based Framework for AutoML Pipeline Configuration

open access: yes, 2019
We study the AutoML problem of automatically configuring machine learning pipelines by jointly selecting algorithms and their appropriate hyper-parameters for all steps in supervised learning pipelines.
Bouneffouf, Djallel   +8 more
core   +1 more source

Black Box Algorithm Selection by Convolutional Neural Network [PDF]

open access: yes, 2020
9 pages, 4 figures, 5 tables, journal ...
Yaodong He, Shiu Yin Yuen
openaire   +2 more sources

Set-Oriented Mining for Association Rules in Relational Databases [PDF]

open access: yes, 1995
Describe set-oriented algorithms for mining association rules. Such algorithms imply performing multiple joins and may appear to be inherently less efficient than special-purpose algorithms. We develop new algorithms that can be expressed as SQL queries,
Houtsma, M.A.W., Swami, A.
core   +3 more sources

Infrared laser sampling of low volumes combined with shotgun lipidomics reveals lipid markers in palatine tonsil carcinoma

open access: yesMolecular Oncology, EarlyView.
Nanosecond infrared laser (NIRL) low‐volume sampling combined with shotgun lipidomics uncovers distinct lipidome alterations in oropharyngeal squamous cell carcinoma (OPSCC) of the palatine tonsil. Several lipid species consistently differentiate tumor from healthy tissue, highlighting their potential as diagnostic markers.
Leonard Kerkhoff   +11 more
wiley   +1 more source

Home - About - Disclaimer - Privacy