Michael W. Trosset - researchr alias

researchr

You are not signed in
Sign in
Sign up

Viewing Publication 1 - 18 from 18

2023

Semisupervised regression in latent structure networks on unknown manifoldsAranyak Acharyya, Joshua Agterberg, Michael W. Trosset, Youngser Park, Carey E. Priebe. ans, 8(1):75, December 2023. [doi]

Popularity Adjusted Block Models are Generalized Random Dot Product GraphsJohn Koo, Minh Tang, Michael W. Trosset. jcgs, 32(1):131-144, January 2023. [doi]

2020

Algorithm 1007: QNSTOP - Quasi-Newton Algorithm for Stochastic OptimizationBrandon D. Amos, David R. Easterling, Layne T. Watson, William I. Thacker, Brent S. Castle, Michael W. Trosset. TOMS, 46(2), 2020. [doi]

2019

Quasi-Newton Stochastic Optimization Algorithm for Parameter Estimation of a Stochastic Model of the Budding Yeast Cell CycleMinghan Chen, Brandon D. Amos, Layne T. Watson, John J. Tyson, Young Cao, Clifford A. Shaffer, Michael W. Trosset, Cihan Oguz, Gisella Kakoti. tcbb, 16(1):301-311, 2019. [doi]

2014

Fortran 95 implementation of QNSTOP for global and stochastic optimizationBrandon D. Amos, David R. Easterling, Layne T. Watson, Brent S. Castle, Michael W. Trosset, William I. Thacker. springsim 2014: 15 [doi]

Parallel deterministic and stochastic global minimization of functions with very many minimaDavid R. Easterling, Layne T. Watson, Michael L. Madigan, Brent S. Castle, Michael W. Trosset. coap, 57(2):469-492, 2014. [doi]

2013

Adjusting process count on demand for petascale global optimizationMasha Sosonkina, Layne T. Watson, Nicholas R. Radcliffe, Raphael T. Haftka, Michael W. Trosset. pc, 39(1):21-35, 2013. [doi]

2010

Dimensionality Reduction on the Cartesian Product of Embeddings of Multiple Dissimilarity MatricesZhiliang Ma, Adam Cardinal-Stakenas, Youngser Park, Michael W. Trosset, Carey E. Priebe. classification, 27(3):307-321, 2010. [doi]

2009

Molecular Embedding via a Second Order Dissimilarity Parameterized ApproachIan G. Grooms, Robert Michael Lewis, Michael W. Trosset. siamsc, 31(4):2733-2756, 2009. [doi]

2008

Iterative DenoisingKendall E. Giles, Michael W. Trosset, David J. Marchette, Carey E. Priebe. cstat, 23(4):497-517, 2008. [doi]

The out-of-sample problem for classical multidimensional scalingMichael W. Trosset, Carey E. Priebe. csda, 52(10):4635-4642, 2008. [doi]

Semisupervised learning from dissimilarity dataMichael W. Trosset, Carey E. Priebe, Youngser Park, Michael I. Miller. csda, 52(10):4643-4657, 2008. [doi]

2007

Multidimensional numerical integration for robust design optimizationSean C. Kugele, Layne T. Watson, Michael W. Trosset. ACMse 2007: 385-390 [doi]

2005

Approximate Solutions of Continuous Dispersion ProblemsArtan Dimnaku, Rex K. Kincaid, Michael W. Trosset. anor, 136(1):65-80, 2005. [doi]

2002

Better initial configurations for metric multidimensional scalingSamuel W. Malone, Pablo Tarazaga, Michael W. Trosset. csda, 41(1):143-156, 2002. [doi]

Extensions of Classical Multidimensional Scaling via Variable ReductionMichael W. Trosset. cstat, 17(2):147-163, 2002. [doi]

2000

Distance Matrix Completion by Numerical OptimizationMichael W. Trosset. coap, 17(1):11-22, 2000. [doi]

1994

An Extension of the Karush-Kuhn-Tucker Necessity Conditions to Infinite ProgrammingRichard A. Tapia, Michael W. Trosset. siamrev, 36(1):1-17, 1994. [doi]

Sign in or sign up to see more results.

runs on WebDSL