Results 31 to 40 of about 392,469 (282)

Algorithmic statistics, prediction and machine learning [PDF]

, 2015
Algorithmic statistics considers the following problem: given a binary string $x$ (e.g., some experimental data), find a "good" explanation of this data. It uses algorithmic information theory to define formally what is a good explanation.
Milovanov, Alexey
core   +2 more sources

Irregularity Strength of Circulant Graphs Using Algorithmic Approach

IEEE Access, 2021
This paper deals with decomposition of complete graphs on $n$ vertices into circulant graphs with reduced degree $r< n-1$ . They are denoted as $C_{n}(a_{1}, a_{2}, {\dots }, a_{m})$ , where $a_{1}$ to $a_{m}$ are generators.
Muhammad Ahsan Asim, Roslan Hasni, Ali Ahmad, Basem Assiri, Andrea Semanicova-Fenovcikova   +4 more
doaj   +1 more source

The splitting method and Poincare's theorem: (I) - the geometric part [PDF]

Computer Science Journal of Moldova, 2002
In this paper we revisit Poincare's theorem in the light of the splitting method which was introduced by the author in [3]. This led to the definition of combinatoric tilings.
Maurice Margenstern
doaj  

Experimental Heat-Bath Cooling of Spins [PDF]

, 2014
Algorithmic cooling (AC) is a method to purify quantum systems, such as ensembles of nuclear spins, or cold atoms in an optical lattice. When applied to spins, AC produces ensembles of highly polarized spins, which enhance the signal strength in nuclear ...
Brassard, Gilles, Elias, Yuval, Fernandez, José M., Gilboa, Haggai, Jones, Jonathan A., Mor, Tal, Weinstein, Yossi, Xiao, Li   +7 more
core   +2 more sources

Imaging response assessment for oncology: An algorithmic approach

European Journal of Radiology Open, 2022
Treatment response assessment by imaging plays a vital role in evaluating changes in solid tumors during oncology therapeutic clinical trials. Response Evaluation Criteria in Solid Tumors (RECIST) 1.1 is the reference standard imaging response criteria ...
Kathleen Ruchalski, Rohit Dewan, Victor Sai, Lacey J. McIntosh, Marta Braschi-Amirfarzan   +4 more
doaj   +1 more source

Algorithmic approach to adiabatic quantum optimization

, 2011
It is believed that the presence of anticrossings with exponentially small gaps between the lowest two energy levels of the system Hamiltonian, can render adiabatic quantum optimization inefficient.
D. Aharonov, Mohammad H. Amin, Neil G. Dickson, P. Crescenzi, T. Cormen, V. Choi, W. van Dam   +6 more
core   +1 more source

An algorithmic and architectural study on Montgomery exponentiation in RNS [PDF]

, 2012
The modular exponentiation on large numbers is computationally intensive. An effective way for performing this operation consists in using Montgomery exponentiation in the Residue Number System (RNS).
Bajard, J.C., Gandino, Filippo, Lamberti, Fabrizio, Montuschi, Paolo, Paravati, Gianluca   +4 more
core   +3 more sources

Boosting Information Spread: An Algorithmic Approach

, 2017
The majority of influence maximization (IM) studies focus on targeting influential seeders to trigger substantial information spread in social networks.
Chen, Wei, Lin, Yishi, Lui, John C. S.
core   +1 more source

Detecting Breakage Fusion Bridge cycles in tumor genomes -- an algorithmic approach [PDF]

, 2013
Breakage-Fusion-Bridge (BFB) is a mechanism of genomic instability characterized by the joining and subsequent tearing apart of sister chromatids. When this process is repeated during multiple rounds of cell division, it leads to patterns of copy number ...
Bafna, Vineet, Kinsella, Marcus, Zakov, Shay   +2 more
core   +1 more source

Artificial Intelligence in the Management of Obesity

Indian Journal of Endocrinology and Metabolism
The prevalence of obesity has increased significantly in the last few years. Addressing obesity needs multifaceted strategy including prevention, accurate diagnosis, treatment of secondary causes, diet and exercise, behavioral changes and long term ...
Khushboo Agarwal
doaj   +1 more source