Results 31 to 40 of about 448,167 (282)
Quantum Zero-Error Algorithms Cannot be Composed [PDF]
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
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
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]
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
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
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
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]
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]
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
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

