AOSOLogitBoost

Boosting algorithm

An implementation of a multi-class boosting algorithm with improved performance and speed

AOSOLogitBoost -- an up-to-date multi-class LogitBoost implementation

GitHub

7 stars
2 watching
5 forks
Language: C++
last commit: over 9 years ago
Linked from 1 awesome list


Backlinks from these awesome lists:

Related projects:

Repository Description Stars
arogozhnikov/infiniteboost A software package implementing an ensemble boosting method with gradient descent 184
stanfordmlgroup/ngboost A Python library implementing a machine learning boosting framework with probabilistic prediction capabilities 1,659
sjsingh91/ib-cnn A library implementing a learning algorithm for improving classification accuracy with incremental updates and ensemble methods using neural networks 2
younghjung/onlinemlrboostingwithvfdt An implementation of online multi-label ranking boosting using VFDT as weak learners 4
amirsaffari/online-multiclass-lpboost A software implementation of an online multi-class learning algorithm using LPBoost and gradient boosting techniques. 66
ys-l/pgbm An implementation of a parallelized gradient boosting algorithm for regression tasks 2
jinlow/forust A package implementing a lightweight gradient boosted decision tree algorithm 67
springdaisy/gbdt An implementation of Gradient Boosted Decision Trees with sparse output for high-dimensional data 0
chasedehan/boostaroota An algorithm for fast feature selection using XGBoost and other tree-based classifiers 219
charliermarsh/online_boosting A suite of algorithms and weak learners for the online learning setting in machine learning 63
amueller/textonboost A C++ implementation of a dense CRF algorithm using textons. 32
yihengsun/transboost An algorithm for improving model performance on target domains by leveraging instances from matured products 34
ankane/xgboost-ruby High-performance machine learning library with a Ruby interface to XGBoost gradient boosting algorithm 106
tqchen/xgboost An optimized distributed gradient boosting library for machine learning 572
gbdt-pl/gbdt-pl An implementation of a gradient boosting algorithm with piece-wise linear regression trees for efficient machine learning model training 151