Results 81 to 90 of about 200,311 (278)

Infinitesimal gradient boosting

Stochastic Processes and their Applications
We define infinitesimal gradient boosting as a limit of the popular tree-based gradient boosting algorithm from machine learning. The limit is considered in the vanishing-learning-rate asymptotic, that is when the learning rate tends to zero and the number of gradient trees is rescaled accordingly.
Dombry, Clément, Duchamps, Jean-Jil
openaire   +3 more sources

Photoconductivity‐Driven Quantum Efficiency Gain in Inorganic Ruddlesden‐Popper Layered Cs2PbBr2I2 Perovskite Photodetector for Visible Light Detection

Advanced Functional Materials, EarlyView.
Rational halogen mixing strategy was employed to shift the bandgap of Cs2PbBr2I2 from ultraviolet to visible region, enabling first realization of a visible‐light photodetector with this 2D layered Ruddlesden‐Popper perovskite material. Under illumination, light‐induced internal field forms and drives trap‐mediated persistent photoconductivity ...
Md Fahim Al Fattah, Asif Abdullah Khan, Saikiran Khamgaonkar, Majid Haji Bagheri, Danyah Khan, Md Rasidul Islam, Mahmoud Almadoun, Aixi Pan, Alexander Li, Marwa Abd‐Ellah, Vivek Maheshwari, Dayan Ban   +11 more
wiley   +1 more source

Historical Gradient Boosting Machine

EPiC Series in Computing, 2018
We introduce the Historical Gradient Boosting Machine with the objective of improving the convergence speed of gradient boosting. Our approach is analyzed from the perspective of numerical optimization in function space and considers gradients in previous steps, which have rarely been appreciated by traditional methods.
Zeyu Feng, Chang Xu, Dacheng Tao
openaire   +2 more sources

Individually Fair Gradient Boosting

, 2021
We consider the task of enforcing individual fairness in gradient boosting. Gradient boosting is a popular method for machine learning from tabular data, which arise often in applications where algorithmic fairness is a concern. At a high level, our approach is a functional gradient descent on a (distributionally) robust loss function that encodes our ...
Vargo, Alexander, Zhang, Fan, Yurochkin, Mikhail, Sun, Yuekai   +3 more
openaire   +2 more sources

Artificial Amorphous Interface Matters for Boosting High‐Voltage Stable LiCoO2 Cathode

Advanced Functional Materials, EarlyView.
The amorphization of phosphate‐based surface layer with favorable Li‐ion conducting kinetics is realized by precisely tailored atomic‐level fabrication. This amorphous coating enables the lithium cobalt oxide (LCO) cathode superior high‐voltage rate capability and cycling performance, owing to the fast interfacial ionic transport and maintained ...
Jinjin Ma, Yipeng Sun, Xiaozhang Yao, Haoqi Ren, Wen Zhang, Jian Peng, Ruizhi Yu, Ruying Li, Changhong Wang, Jigang Zhou, Xueliang Sun   +10 more
wiley   +1 more source

Gradient boosting MUST taggers for highly-boosted jets

The European Physical Journal Plus
AbstractThe Mass Unspecific Supervised Tagging (MUST) method has proven to be successful in implementing generic jet taggers capable of discriminating various signals over a wide range of jet masses. We implement the MUST concept by using eXtreme Gradient Boosting () classifiers instead of neural networks (NNs) as previously done.
J. A. Aguilar-Saavedra, E. Arganda, F. R. Joaquim, R. M. Sandá Seoane, J. F. Seabra   +4 more
openaire   +2 more sources

Federated Functional Gradient Boosting

, 2021
In this paper, we initiate a study of functional minimization in Federated Learning. First, in the semi-heterogeneous setting, when the marginal distributions of the feature vectors on client machines are identical, we develop the federated functional gradient boosting (FFGB) method that provably converges to the global minimum. Subsequently, we extend
Shen, Zebang, Hassani, Hamed, Kale, Satyen, Karbasi, Amin   +3 more
openaire   +2 more sources

Membrane Wrapping for High Capacity and Rapidly Switchable Adhesives

Advanced Functional Materials, EarlyView.
A membrane‐wrapping mechanism enables high‐capacity, rapidly switchable adhesion by coupling suction, friction, and adhesion. Broadband performance is achieved in dry and underwater conditions, allowing fast, reversible manipulation of objects of diverse sizes and shapes, from delicate eggs and berries to flat, complex, or heavy objects. These outcomes
Yeunhee Kim, Camryn A. Mills, Michael D. Bartlett   +2 more
wiley   +1 more source

Comparing Gradient Boosting and Neural Networks in Predicting Age Based on Coronal Pulp Height from Panoramic Radiographs – A Retrospective Radiographic Study

Journal of Indian Academy of Oral Medicine and Radiology
Background: Age estimation is the process of establishing an individual’s age using biological indicators. It is extremely important in many domains, including forensic science, anthropology, and legal medicine.
Kishorwara Ramamoorthy, Devika S. Pillai, Pradeep Kumar Yadalam, Prasanthi Sitaraman   +3 more
doaj   +1 more source

Introducing Gradient Boosting as a universal gap filling tool for meteorological time series

Meteorologische Zeitschrift, 2018
In this article, Gradient Boosting (gb) is introduced as an easily adaptable machine learning method to fill gaps caused by missing or erroneous data in meteorological time series.
Philipp Körner, Rico Kronenberg, Sandra Genzel, Christian Bernhofer   +3 more
doaj   +1 more source