Results 31 to 40 of about 5,416,756 (285)

Bagging ensemble selection for regression [PDF]

, 2012
Bagging ensemble selection (BES) is a relatively new ensemble learning strategy. The strategy can be seen as an ensemble of the ensemble selection from libraries of models (ES) strategy. Previous experimental results on binary classification problems have
Quan Sun, Pfahringer, Bernhard, Bernhard Pfahringer, Sun, Quan   +3 more
core   +1 more source

Gradient boosting with extreme-value theory for wildfire prediction [PDF]

, 2022
This paper details the approach of the team $\textit{Kohrrelation}$ in the 2021 Extreme Value Analysis data challenge, dealing with the prediction of wildfire counts and sizes over the contiguous US. Our approach uses ideas from extreme-value theory in a
Koh, Jonathan, Jonathan Koh
core   +3 more sources

Boosting Ridge Regression [PDF]

, 2005
Ridge regression is a well established method to shrink regression parameters towards zero, thereby securing existence of estimates. The present paper investigates several approaches to combining ridge regression with boosting techniques.
Binder, Harald, Tutz, Gerhard
core   +1 more source

Gradient tree boosting for hierarchical data

, 2022
This OSF project contains the R files containing the gradient tree boosting, MERT boosting and REEM boosting functions as well as the two simulation scripts and the data and analysis file for the illustrative data ...
Steffen Nestler, Marie Salditt, Sarah Humberg   +2 more
core   +2 more sources

Boosting algorithms for projecting streamflow in the Lower Godavari Basin for different climate change scenarios

Water Science and Technology
The present study investigates the ability of five boosting algorithms, namely Adaptive Boosting (AdaBoost), Categorical Boosting (CatBoost), Light Gradient Boosting (LGBoost), Natural Gradient Boosting (NGBoost), and eXtreme Gradient Boosting (XGBoost ...
Bhavesh Rahul Mishra, Rishith Kumar Vogeti, Rahul Jauhari, K. Srinivasa Raju, D. Nagesh Kumar   +4 more
doaj   +1 more source

Prospecting the protein design landscape

FEBS Letters, EarlyView.
This review outlines the current state of various protein design approaches. We discuss the current possibilities enabled by recently released tools, highlight future avenues to pursue in protein design, and underscore the crucial role of key databases and resources for successful protein design workflows.
Jakob R. Riccabona, Katharina T. Stonig, Jens Meiler, Clara T. Schoeder, Monica L. Fernández‐Quintero   +4 more
wiley   +1 more source

Flood susceptibility assessment using three machine learning techniques and comparison of their performance

Scientific Reports
One of the most common natural disasters is flooding, which has the potential to seriously harm environments and infrastructure. Flood susceptibility mapping (FSM) is the main way to manage flood risk.
Tade Mule Asrade, Sintayehu Adefires Abebe, Kassahun Birhanu Tadesse, Mulu Sewinet Kerebih, Taye Minichil Meshesha   +4 more
doaj   +1 more source

Comparing the paths of Hedgehog release in artificial and natural settings

FEBS Letters, EarlyView.
Hh morphogens require solubilization factors to overcome their tight association with the plasma membrane and signal to distant cells, but the precise functions of these factors are controversial. Here, we use published in vivo observations as the most relevant evidence to test their suggested functions and discuss contradictions and gaps between in ...
Janna Puschmann, Kay Grobe
wiley   +1 more source

Flexural Behavior of 3D‐Printed Porous Bouligand‐Structured Polymers: Influence of Pitch Angle and Porosity

Advanced Engineering Materials, EarlyView.
This study examines how helicoidal architectures with different porosities respond to bending. Adjusting layer angle and spacing in 3D‐printed polymers reveals clear tradeoffs between stiffness, strength, and energy absorption. Experiments and simulations highlight designs that distribute stress effectively, offering pathways for optimizing lightweight
Praveenkumar Subhash Patil, Edward D. McCarthy, Parvez Alam   +2 more
wiley   +1 more source

Smoothing with Curvature Constraints based on Boosting Techniques [PDF]

, 2006
In many applications it is known that the underlying smooth function is constrained to have a specific form. In the present paper, we propose an estimation method based on the regression spline approach, which allows to include concavity or convexity ...
Gerhard Tutz, Leitenstorfer, Florian, Tutz, Gerhard, Florian Leitenstorfer   +3 more
core   +1 more source