Suchergebnisse - Discrete difference of convex algorithm

MAP inference algorithms without approximation for collective graphical models on path graphs via discrete difference of convex algorithm

Autoren: Yasunori Akagi Naoki Marumo Hideaki Kim et al.

Quelle: Machine Learning. 112:99-129

Schlagwörter: 0211 other engineering and technologies, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

Non-approximate Inference for Collective Graphical Models on Path Graphs via Discrete Difference of Convex Algorithm

Autoren: Akagi, Yasunori Marumo, Naoki Kim, Hideaki et al.

Index Begriffe: Statistics - Machine Learning, Computer Science - Machine Learning, text

URL: http://arxiv.org/abs/2102.09191

MAP inference algorithms without approximation for collective graphical models on path graphs via discrete difference of convex algorithm.

Autoren: Akagi, Yasunori Marumo, Naoki Kim, Hideaki et al.

Quelle: Machine Learning; Jan2023, Vol. 112 Issue 1, p99-129, 31p

Schlagwörter: APPROXIMATION algorithms, CONCAVE functions, CONVEX functions, ALGORITHMS, PROBLEM solving, CONTINUOUS functions

Minimization of transformed L1 penalty: theory, difference of convex function algorithm, and robust application in compressed sensing.

Autoren: Zhang, Shuai Xin, Jack

Quelle: Mathematical Programming. May2018, Vol. 169 Issue 1, p307-336. 30p.

Schlagwörter: *CONVEX functions, *ALGORITHMS, *STOCHASTIC convergence, *COMPRESSED sensing, *RANDOM matrices

Neuromuscular function assessment through EMG in using hybrid learning in real-time

Autoren: Shirzadi, Mehdi

Weitere Verfasser: University/Department: Universitat Politècnica de Catalunya. Departament d'Enginyeria de Sistemes, Automàtica i Informàtica Industrial

Thesis Advisors: Mañanas Villanueva, Miguel Ángel, Marateb, Hamid Reza

Quelle: TDX (Tesis Doctorals en Xarxa)

Schlagwörter: Àrees temàtiques de la UPC::Enginyeria biomèdica, 616 - Patologia. Medicina clínica. Oncologia

Dateibeschreibung: application/pdf

Zugangs-URL: http://hdl.handle.net/10803/694118
https://dx.doi.org/10.5821/dissertation-2117-427134

Multi-target elliptic positioning via difference of convex functions programming.

Autoren: Dang, Xudong Liu, Hongwei Yan, Junkun

Quelle: Signal Processing. Sep2025, Vol. 234, pN.PAG-N.PAG. 1p.

Schlagwörter: *MIMO radar, *CONVEX functions, *CONVEX programming, *RADAR, *ALGORITHMS

Minimization of Transformed $L_1$ Penalty: Theory, Difference of Convex Function Algorithm, and Robust Application in Compressed Sensing

Autoren: Zhang, Shuai Xin, Jack

Index Begriffe: Computer Science - Information Theory, text

URL: http://arxiv.org/abs/1411.5735

Long-Short Portfolio Optimization Under Cardinality Constraints by Difference of Convex Functions Algorithm.

Autoren: Le Thi, Hoai Moeini, Mahdi

Quelle: Journal of Optimization Theory & Applications. Apr2014, Vol. 161 Issue 1, p199-224. 26p.

Schlagwörter: *CONVEX functions, *CONSTRAINT algorithms, *CONVEX programming, *NONCONVEX programming, *COMPLEMENTARITY constraints (Mathematics)

An Accelerated Double-Proximal Gradient Algorithm for DC Programming.

Autoren: Li, Gaoxi Yi, Ying Huang, Yingquan

Quelle: Asia-Pacific Journal of Operational Research; Jun2024, Vol. 41 Issue 3, p1-21, 21p

Schlagwörter: ALGORITHMS, IMAGE processing

Discrete Piecewise Monotonic Approximation by a Strictly Convex Distance Function

Autoren: Demetriou, I. C.

Quelle: Mathematics of Computation, 1995 Jan 01. 64(209), 157-180.

Zugangs-URL: https://www.jstor.org/stable/2153327

Solving a continuous multifacility location problem by DC algorithms.

Autoren: Bajaj, Anuj Mordukhovich, Boris S. Nam, Nguyen Mau et al.

Quelle: Optimization Methods & Software. Feb2022, Vol. 37 Issue 1, p338-360. 23p.

Schlagwörter: *INTEGER programming, *BEES algorithm, *CONVEX functions

A Preconditioned Difference of Convex Algorithm for Truncated Quadratic Regularization with Application to Imaging.

Autoren: Deng, Shengxiang Sun, Hongpeng

Quelle: Journal of Scientific Computing; Aug2021, Vol. 88 Issue 2, p1-28, 28p

Convergence Analysis of Difference-of-Convex Algorithm with Subanalytic Data.

Autoren: Le Thi, Hoai An Huynh, Van Ngai Pham Dinh, Tao

Quelle: Journal of Optimization Theory & Applications; Oct2018, Vol. 179 Issue 1, p103-126, 24p

Schlagwörter: STOCHASTIC convergence, CONVEX surfaces, NONCONVEX programming, NONSMOOTH optimization, CHEBYSHEV approximation

A variable metric and nesterov extrapolated proximal DCA with backtracking for a composite DC program.

Autoren: You, Yu Niu, Yi-Shuai

Quelle: Journal of Industrial & Management Optimization; Oct2023, Vol. 19 Issue 10, p1-19, 19p

Schlagwörter: SMOOTHNESS of functions, CONTINUOUS functions, CONVEX functions, CONCAVE functions, DATA science, LOGISTIC regression analysis

MIXED-INTEGER DC PROGRAMMING BASED ALGORITHMS FOR THE CIRCULAR PACKING PROBLEM

Autoren: Satoru Masuda Takayuki Okuno Yoshiko Ikebe

Quelle: Journal of the Operations Research Society of Japan. 2023, 66(3):153

Adaptive Reconstruction of Discrete-Valued Objects from few Projections

Autoren: Schüle, Thomas Weber, Stefan Schnörr, Christoph

Quelle: Electronic Notes in Discrete Mathematics. Jul2005, Vol. 20, p365-384. 20p.

Schlagwörter: Algorithms, Mathematical programming, Convex functions, Algebra

Visualizing data as objects by DC (difference of convex) optimization.

Autoren: Carrizosa, Emilio Guerrero, Vanesa Romero Morales, Dolores

Quelle: Mathematical Programming; May2018, Vol. 169 Issue 1, p119-140, 22p

Schlagwörter: DATA visualization, MATHEMATICAL functions, ALGORITHMS, MATHEMATICAL optimization, STATISTICS

Discrete element simulations of heart-shaped particle systems.

Autoren: Zhao, Chuang Cheng, Xinyu Peng, Yixue et al.

Quelle: Powder Technology. Sep2020, Vol. 375, p369-383. 15p.

Schlagwörter: *ELLIPSOIDS, *SEARCH algorithms, *REACTION forces, *PARTICLES, *DATA structures, *GRANULAR materials, *TORUS

Value-at-Risk optimization using the difference of convex algorithm.

Autoren: Wozabal, David

Quelle: OR Spectrum; Oct2012, Vol. 34 Issue 4, p861-883, 23p

Schlagwörter: VALUE at risk, MATHEMATICAL optimization, CONVEX domains, ALGORITHMS, FINANCIAL institutions, ASSETS (Accounting), STOCHASTIC programming

A Weighted Difference of Anisotropic and Isotropic Total Variation for Relaxed Mumford-Shah Color and Multiphase Image Segmentation.

Autoren: Bui, Kevin Park, Fredrick Yifei Lou et al.

Quelle: SIAM Journal on Imaging Sciences; 2021, Vol. 14 Issue 3, p1078-1113, 36p

Schlagwörter: IMAGE segmentation, ALGORITHMS, COLOR