Results 81 to 90 of about 10,477 (184)

A strongly polynomial-time algorithm for minimizing submodular functions

This paper presents a combinatorial polynomial-time algorithm for minimizing submolular set functions. The algorithm employs a scaling scheme that uses a flow in the complete directed graph on the underlying set with each arc capacity equal to thescaled ...
IWATA, Satoru, FLEISCHER, Lisa, FUJISHIGE, Satoru   +2 more
core  

Polynomial Auction Algorithms for Shortest Paths

, 1995
In this paper we consider strongly polynomial variations of the auction algorithm for the single origin/many destinations shortest path problem. These variations are based on the idea of graph reduction, that is, deleting unnecessary arcs of the graph by
PALLOTTINO, STEFANO, BERTSEKAS D. P., Maria Grazia Scutella, SCUTELLA', MARIA GRAZIA, Stefano Pallottino, Dimitri P. Bertsekas   +5 more
core  

HILBERT POLYNOMIALS AND STRONGLY STABLE IDEALS

, 2012
Strongly stable ideals are important in algebraic geometry, commutative algebra, and combinatorics. Prompted, for example, by combinatorial approaches for studying Hilbert schemes and the existence of maximal total Betti numbers among saturated ideals ...
Moore, Dennis
core  

Research on Error Compensation Methods of Dynamic Gravity Measurement Based on Swarm Cooperation Evolution Strategy and Optimized LSTM. [PDF]

Entropy (Basel)
Li X, Zhou Z, Zhang Z, Liang Z, Chang Z, Li Y.   +5 more
europepmc   +1 more source

Comparative Evaluation of Machine Learning and Conventional Material Decomposition Algorithms for Spectral Chest Radiography Using a CdTe Photon-Counting Detector. [PDF]

Sensors (Basel)
Marupudi S, Ghammraoui B.
europepmc   +1 more source

A case study to compare the methods of SOC estimation for lithium-ion batteries using second-order RC circuit model. [PDF]

Sci Rep
Xu HY, Wang JL, Wang WW.
europepmc   +1 more source

Throughput Rate Optimization in High Multiplicity Sequencing Problems

Mixed model assembly systems assemble products (parts) of differenttypes in certain prespecified quantities. A minimal part set is a smallestpossible set of product type quantities, to be called the multiplicities,in which the numbers of assembled ...
Grigoriev,Alexander, Klundert,Joris ,van de   +1 more
core  

Liposome Particle Size Prediction by In-Line Process Analytical Technology (PAT)-Integrated Machine Learning. [PDF]

Small Methods
Lee J, Morishita Watanabe N, Yoshimoto N, Eom S, Kwak MK, Jung HS, Umakoshi H.   +6 more
europepmc   +1 more source

A robust multi-location evaluation of a machine learning framework for wind power forecasting. [PDF]

PLoS One
Ali U, Sufyan M, Ali S, Ahmad M, Rehman Khan SU, Raza N, Sultana J, Habib MA.   +7 more
europepmc   +1 more source

Machine Learning and the Use of Spectroscopy for Adulteration Detection in Turmeric Powder. [PDF]

Molecules
Kisalaei A, Sharabiani VR, Banakar A, Taghinezhad E, Szymanek M, Dziwulska-Hunek A.   +5 more
europepmc   +1 more source