• bmrm

  • Referenced in 23 articles [sw11016]
  • methods for minimization of convex and non-convex risk under L1 or L2 regularization. Implements ... which make it powerful for big data analysis. The applications includes: structured prediction, linear...
  • MARCO

  • Referenced in 5 articles [sw02719]
  • reachability analysis and that of our collaborators, we exploited the convexity of multi-affine functions ... mode. We describe our Multi-Affine Reachability analysis using Conical Overapproximations, MARCO, and show that...
  • PFC2D

  • Referenced in 18 articles [sw07902]
  • problem, its range extends to any analysis that examines the dynamic behavior of a particulate ... arbitrarily-oriented line segments or planar convex polygons may be specified as walls, each with...
  • PIETOOLS

  • Referenced in 2 articles [sw38255]
  • coupled linear PDEs and scalable stability analysis using LMIs. We present a new partial integral ... possible to use convex optimization to perform stability analysis with little or no conservatism ... that for systems in this PIE representation, convex optimization may be used to verify stability...
  • LS-SVMlab

  • Referenced in 26 articles [sw07367]
  • risk minimization. In the methods one solves convex optimization problems, typically quadratic programs. Least Squares ... recognition algorithms such as kernel Fisher discriminant analysis and extensions to unsupervised learning, recurrent networks...
  • RAMAS

  • Referenced in 12 articles [sw10958]
  • systems. We present a technique for reachability analysis of continuous multi-affine systems based ... quotients are produced. We exploit some interesting convexity properties of multi-affine functions on rectangles ... expected to find important applications in analysis of biological networks and robot control...
  • PFC3D

  • Referenced in 13 articles [sw07903]
  • problem, its range extends to any analysis that examines the dynamic behavior of a particulate ... arbitrarily-oriented line segments or planar convex polygons may be specified as walls, each with...
  • MixGHD

  • Referenced in 12 articles [sw18474]
  • model-based clustering, classification and discriminant analysis using five different models. The models ... distributions. The ’cMSGHD’ is a ’MSGHD’ with convex contour plots. The ’MCGHD’, mixture of coalesced...
  • DrAmpl

  • Referenced in 9 articles [sw06194]
  • include classification of the problem at hand, analysis of the objective and constraint functions ... over the feasible set and assessment of convexity. Two antagonistic approaches are considered...
  • IRIT

  • Referenced in 6 articles [sw21528]
  • symbolic, numeric and algebraic based computation and analysis, support of trivariate spline volumes, as well ... extensive bisector computation for curves and surfaces, convex hulls and kernels, freeform curve and surface ... covering, contact and (Hausdorff- and/or extreme-) distance analysis, kinematics analysis over freeforms, wire...
  • UDEC

  • Referenced in 18 articles [sw07904]
  • numerical modeling code for advanced geotechnical analysis of soil, rock, and structural support ... medium treated as an assemblage of discrete (convex or concave) polygonal blocks with rounded corners...
  • pyStoNED

  • Referenced in 1 article [sw40063]
  • pyStoNED: A Python Package for Convex Regression and Frontier Estimation. Shape-constrained nonparametric regression ... productivity and efficiency analysis, recent developments in the multivariate convex regression and related techniques such...
  • cvxEDA

  • Referenced in 1 article [sw39505]
  • cvxEDA: A Convex Optimization Approach to Electrodermal Activity Processing. Goal: This paper reports ... algorithm for the analysis of electrodermal activity (EDA) using methods of convex optimization...
  • ExtraPush

  • Referenced in 5 articles [sw28495]
  • algorithm ExtraPush for consensus optimization with convex differentiable objective functions over a directed network. When ... diminishing step sizes. We present preliminary analysis for ExtraPush under a bounded sequence assumption ... provided that the objective function is strongly convex. In our numerical experiments, ExtraPush and Normalized...
  • APPLE

  • Referenced in 4 articles [sw13354]
  • penalized likelihood estimators. In high-dimensional data analysis, penalized likelihood estimators are shown to provide ... Approximate Path for Penalized Likelihood Estimators. Both convex penalties (such as LASSO) and folded concave ... several well-known packages via simulation and analysis of two gene expression data sets...
  • ConvexLAR

  • Referenced in 3 articles [sw16543]
  • certain penalty methods such as a convex loss function with lasso or group lasso penalty ... recurrent event and panel count data analysis, Ada-Boost, and Gaussian graphical model is reconsidered...
  • NETT

  • Referenced in 15 articles [sw41773]
  • this paper, we establish a complete convergence analysis for the proposed NETT (Network Tikhonov) approach ... generalizing the standard Bregman distance from the convex to the non-convex case...
  • LyapunovFunDR

  • Referenced in 2 articles [sw34755]
  • lines, but globally the geometry is non-convex and the Douglas-Rachford operator multi-valued ... prototypical for addressing the convergence analysis of the Douglas-Rachford iteration in more complex geometries...
  • SPeeDI

  • Referenced in 8 articles [sw00896]
  • backward) propagation of constraints, typically (unions of convex) polyhedra or ellipsoids. In general, these techniques ... specific (class of) systems under analysis. An interesting and still decidable class of hybrid system...
  • NewPolka

  • Referenced in 4 articles [sw14384]
  • Polka is a library to handle convex polyhedra, whose constraints and generators have rational coefficients ... others research teams working on static analysis and abstract interpretation. It is mainly based...