
LowRankModels
 Referenced in 27 articles
[sw27002]
 easy to mix and match loss functions and regularizers to construct a model suitable ... particular, it supports: using different loss functions for different columns of the data array, which...

isotone
 Referenced in 31 articles
[sw20811]
 simple chain constraints. Besides of general convex functions we extend existing PAVA implementations in terms ... This methodology is applied on specific loss functions relevant in statistics. Both approaches are implemented...

Nway Toolbox
 Referenced in 30 articles
[sw12996]
 models with a weighted least squares loss function (including MILES); Predicting scores for new samples...

bmrm
 Referenced in 21 articles
[sw11016]
 package comes with lot of loss functions for machine learning which make it powerful...

AdaBoostSAMME
 Referenced in 21 articles
[sw19134]
 class of Fisherconsistent loss functions for multiclass classification. As shown in this paper...

Ginsim
 Referenced in 29 articles
[sw09090]
 types of experimental perturbations, such as lossoffunction mutations or ectopically induced gene expression...

pertsaus2
 Referenced in 17 articles
[sw15442]
 details are given for least squares loss functions and for least absolute deviations. The weighted...

ENDER
 Referenced in 15 articles
[sw12831]
 ensemble. We consider different loss functions and minimization techniques often encountered in the boosting framework...

DiSCO
 Referenced in 11 articles
[sw28439]
 efficiency for minimizing selfconcordant empirical loss functions, and discuss the results for distributed ridge ... binary classification with a smoothed hinge loss. In a standard setting for supervised learning, where...

PANTHER
 Referenced in 15 articles
[sw22973]
 used to define HMMs, but gene ontology functional annotations can now be made ... designed to represent gain and loss of function by ancestral genes during evolution. Finally, PANTHER...

Vowpal Wabbit
 Referenced in 10 articles
[sw28398]
 sparse gradient descent (GD) on a loss function (several are available), The code should...

SpicyMKL
 Referenced in 7 articles
[sw14765]
 which is applicable to general convex loss functions and general types of regularization. The proposed...

RBoost
 Referenced in 3 articles
[sw29975]
 Boosting Algorithm Based on a Nonconvex Loss Function and the Numerically Stable Base Learners. AdaBoost ... AdaBoost stems from the exponential loss function, which puts unrestricted penalties to the misclassified samples ... RBoost1 and RBoost2 optimize a nonconvex loss function of the classification margin. Because the penalties ... previous base learners. Besides the loss function, at each boosting iteration, RBoost1 and RBoost2...

DSCOVR
 Referenced in 5 articles
[sw28397]
 large linear models with convex loss functions, and propose a family of randomized primaldual...

actuar
 Referenced in 17 articles
[sw06079]
 functions , Additional actuarial science functionality, mostly in the fields of loss distributions, risk theory (including...

partDSA
 Referenced in 2 articles
[sw07441]
 algorithm, both of which also utilize loss functions (e.g., squared error for a continuous outcome ... confronted with censored outcome data, the loss functions used by both procedures must be modified ... that make use of observed data loss functions constructed using inverse probability of censoring weights ... Such loss functions are consistent estimates of their uncensored counterparts provided that the corresponding censoring...

GenSVM
 Referenced in 4 articles
[sw14320]
 method is based on a convex loss function, which is flexible due to several different...

ArcFace
 Referenced in 2 articles
[sw33958]
 recognition is the design of appropriate loss functions that enhance discriminative power. Centre loss penalises ... incorporate margins in wellestablished loss functions in order to maximise face class separability ... paper, we propose an Additive Angular Margin Loss (ArcFace) to obtain highly discriminative features...

pycox
 Referenced in 2 articles
[sw33183]
 casecontrol studies, we propose a loss function that scales well to large data sets ... model. Through simulation studies, the proposed loss function is verified to be a good approximation...

ConvexLAR
 Referenced in 2 articles
[sw16543]
 algorithm that works for any convex loss function and naturally extends to group selection ... penalty methods such as a convex loss function with lasso or group lasso penalty. Variable...