Results 261 to 270 of about 839,459 (306)

Boosting Selective Nitrate Electroreduction to Ammonium by Constructing Oxygen Vacancies in TiO2

, 2020
Electrocatalytic nitrate reduction into recyclable ammonium under benign conditions is significant.
Ranran Jia, Yuting Wang, Changhong Wang, Yang Ling, Yifu Yu, Bin Zhang   +5 more
semanticscholar   +1 more source

Feature selection based on artificial bee colony and gradient boosting decision tree

Applied Soft Computing, 2019
Data from many real-world applications can be high dimensional and features of such data are usually highly redundant. Identifying informative features has become an important step for data mining to not only circumvent the curse of dimensionality but to
H. Rao, Xianzhang Shi, Ahoussou Kouassi Rodrigue, Juanjuan Feng, Yingchun Xia, M. Elhoseny, Xiaohui Yuan, Lichuan Gu   +7 more
semanticscholar   +1 more source

No-Regret Boosting

2007
Following [4], we analyze boosting from a game-theoretic perspective. We define a wide class of boosting classification algorithms called H-boosting methods, which are based on Hannan-consistent game playing strategies. These strategies tend to minimize the regret of a player, i.e.
Anna Gambin, Ewa Szczurek
openaire   +1 more source

Martingale Boosting

2005
Martingale boosting is a simple and easily understood technique with a simple and easily understood analysis. A slight variant of the approach provably achieves optimal accuracy in the presence of random misclassification noise.
Philip M. Long, Rocco A. Servedio
openaire   +1 more source

To Boost or Not to Boost Residents and Fellows—That Is the Question

Journal of Graduate Medical Education, 2022
Sofia Zavala, Kathryn M. Andolsek, Jason E. Stout   +2 more
openaire   +2 more sources

Infomax Boosting

2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05), 2005
In this paper, we described an efficient feature pursuit scheme for boosting. The proposed method is based on the infomax principle, which seeks optimal feature that achieves maximal mutual information with class labels. Direct feature pursuit with infomax is computationally prohibitive, so an efficient gradient ascent algorithm is further proposed ...
openaire   +1 more source

To Boost or Not to Boost? That is the Question

SSRN Electronic Journal, 2023
Ye Lu, Adrian Pagan
openaire   +1 more source

Predictive Performances of Ensemble Machine Learning Algorithms in Landslide Susceptibility Mapping Using Random Forest, Extreme Gradient Boosting (XGBoost) and Natural Gradient Boosting (NGBoost)

The Arabian journal for science and engineering, 2022
T. Kavzoglu, A. Teke
semanticscholar   +1 more source

Predicting occurrence of liquefaction-induced lateral spreading using gradient boosting algorithms integrated with particle swarm optimization: PSO-XGBoost, PSO-LightGBM, and PSO-CatBoost

Acta Geotechnica, 2023
Selçuk Demir, E. Şahin
semanticscholar   +1 more source

Special Invited Paper-Additive logistic regression: A statistical view of boosting

, 2000
J. Friedman
semanticscholar   +1 more source