Results 71 to 80 of about 3,823,341 (178)

An emission-aware AI framework for sustainable lifecycle routing in E-commerce supply chains

Array
Online retail produces a large and growing volume of returned merchandise, and how those returns are handled now drives a substantial part of supply-chain sustainability outcomes.
Perciya A., Subaji M
doaj   +1 more source

Best-first Decision Tree Learning [PDF]

, 2007
In best-first top-down induction of decision trees, the best split is added in each step (e.g. the split that maximally reduces the Gini index). This is in contrast to the standard depth-first traversal of a tree.
Shi, Haijian
core  

The no arbitrage condition in option implied trees: evidence from the Italian index options market [PDF]

A major issue in the construction of implied trees is the no arbitrage property preservation. Within the literature on deterministic smile-consistent trees using forward induction, two major contributions are: Derman and Kani (1994) and Barle and Cakici (
S. Muzzioli, C. Torricelli, V. Moriggia
core  

A multimodal approach for depression detection using semi-automatic data annotation and deterministic machine learning methods

Научно-технический вестник информационных технологий, механики и оптики
A trending task of automatic psycho-emotional human state detection was studied in this work. A scientific interest to researches devoted to the automatic multimodal depression detection can arise out of the widespread of anxiety-depressive disorders and
A. N. Velichko, A. A. Karpov
doaj   +1 more source

Evaluating the Maturity of Large Language Models in Applying Machine Learning Algorithms: A Case Study on the Iris Dataset

Electrica
This study presents a comparative evaluation of traditional machine learning algorithms and state-of-the-art large language models (LLMs) in classification tasks using structured data.
Hilal Sazoğlu, Serdar Biroğul
doaj   +1 more source

Credible capacity evaluation of virtual power plants considering wind and PV uncertainties

Scientific Reports
The increasing integration of weather-dependent renewable energy sources into Virtual Power Plants (VPPs) introduces significant uncertainty in short-term dispatch planning.
Chaojie Li, Jiang Dai, Silin Zhu, Ruyue Guo, Zhe Liu, Youquan Jiang, Shijin Tian, Yanyan Wen   +7 more
doaj   +1 more source

Cost-Sensitive Decision Trees with Completion Time Requirements [PDF]

In many classification tasks, managing costs and completion times are the main concerns. In this paper, we assume that the completion time for classifying an instance is determined by its class label, and that a late penalty cost is incurred if the ...
Hung-Pin KAO, Kwei TANG, Jen TANG
core  

The Exposition of Fuzzy Decision Trees and their Application in Biology

, 2008
This chapter employs the fuzzy decision tree classification technique in a series of biological based application problems. With its employment in a fuzzy environment, the results, in the form of fuzzy ‘if ..
Kirsty Park, Beynon, Malcolm James, Malcolm J. Beynon, Park, K.   +3 more
core   +1 more source

Robust frameworks for assessing volumetric carbon footprint of ground granulated blast furnace slag geopolymer concretes

Materials Today Advances
The construction industry requires sustainable alternatives to ordinary Portland cement, but predicting the environmental impact of geopolymer concretes remains complex due to highly variable mixture designs.
Weiye Zhang, Bismillah Husseini, Aseel Smerat, Mohamed Abdelghany Elkotb   +3 more
doaj   +1 more source

End-to-End learning of decision trees and forests

, 2019
Conventional decision trees have a number of favorable properties, including a small computational footprint, interpretability, and the ability to learn from little training data.
Hamprecht, Fred A. (author), Kooij, J.F.P. (author), Hehn, T.M. (author)   +2 more
core   +1 more source