Results 101 to 110 of about 36,144 (280)

Is the EU Sustainable Finance Disclosure Regulation (SFDR) an Opportunity or a Boundary for European Thematic Mutual Funds? A Difference‐in‐Differences Approach

Corporate Social Responsibility and Environmental Management, EarlyView.
ABSTRACT The EU Sustainable Finance Disclosure Regulation (SFDR) introduces an ESG‐product classification (Article 8 and 9) to harmonize sustainability‐disclosure standards. However, the SFDR does not specify the sustainability practices of these products.
Mercedes Alda
wiley   +1 more source

Learning with SGD and Random Features

CoRR, 2018
Sketching and stochastic gradient methods are arguably the most common techniques to derive efficient large scale learning algorithms. In this paper, we investigate their application in the context of nonparametric statistical learning. More precisely, we study the estimator defined by stochastic gradient with mini batches and random features.
Carratino, L, Rudi, A, Rosasco, L
openaire   +6 more sources

Beta Forecasting With Realized Beta Estimators and Machine Learning Algorithms

Journal of Forecasting, EarlyView.
ABSTRACT This paper applies machine learning algorithms to the modeling of realized betas for the purposes of forecasting stock systematic risk. Higher levels of beta forecast accuracy are demonstrated, relative to other studies in the literature. These improvements are also highly significant, both statistically and economically.
Bao Doan, Dulani Jayasuriya, John B. Lee, Jonathan J. Reeves   +3 more
wiley   +1 more source

Spatially-explicit estimation of Wright’s neighborhood size in continuous populations

Frontiers in Ecology and Evolution, 2014
Effective population size (Ne) is an important parameter in conservation genetics because it quantifies a population’s capacity to resist loss of genetic diversity due to inbreeding and drift.
Andrew J Shirk, Samuel A Cushman
doaj   +1 more source

A Comprehensive Study to Compare Different Compound Representations for Predicting Carcinogenicity In Vivo

Journal of Applied Toxicology, EarlyView.
ABSTRACT Carcinogenicity evaluation is a critical component of chemical risk assessment, yet traditional in vivo testing remains time consuming, costly, and ethically challenging. Computational approaches based on machine learning offer promising alternatives, but the relative contributions of different molecular representation strategies for ...
Iuri Barbosa Pereira, Rogerio Salvini, Eloisa Dutra Caldas   +2 more
wiley   +1 more source

Birch SGD: A Tree Graph Framework for Local and Asynchronous SGD Methods

CoRR
We propose a new unifying framework, Birch SGD, for analyzing and designing distributed SGD methods. The central idea is to represent each method as a weighted directed tree, referred to as a computation tree. Leveraging this representation, we introduce a general theoretical result that reduces convergence analysis to studying the geometry of these ...
Alexander Tyurin, Danil Sivtsov
openaire   +3 more sources

The German Soil Systematics and the Rationale Behind Its Revision

Journal of Plant Nutrition and Soil Science, EarlyView.
ABSTRACT Background The German Soil Systematics is a pedogenetic classification based on the morphological expressions of pedogenic processes and has been developed over several stages since 1952. The system has successfully been in use for soil classification and soil survey for almost 70 years.
Einar Eberhardt, Karl Stahr, Peter Schad, Alexander Gröngröft   +3 more
wiley   +1 more source

ANALISIS PENGARUH EKSPOR IMPOR TERHADAP NILAI TUKAR USD DAN SGD [PDF]

, 2018
Penelitian ini bertujuan untuk mengetahui pengaruh dari : (1) ekpor nasional terhadap nilai tukar usd dan sgd, (2) impor nasional terhadap nilai tukar usd dan sgd, (3) ekspor kota Batam terhadap nilai tukar usd dan sgd, dan (4) impor kota Batam terhadap ...
Sabtiadi, Kurniawan, Kartikasari, Dwi
core   +1 more source

Revealing Dust Source Changes in East Asia From Past to Future: An Interpretable Deep Learning Approach

Land Degradation &Development, EarlyView.
ABSTRACT Aeolian dust source areas are controlled by climate and human activities and are closely associated with land degradation, yet their long‐term evolution under global warming remains insufficiently quantified. An integrated framework that couples a U‐Net segmentation model with Shapley Additive Explanations (SHAP) was built to map and attribute
Yanyu Li, Qizhong Wu, Xueshun Chen, Jiang Yue, Jieying He, Huaqiong Cheng   +5 more
wiley   +1 more source

Effect of COMT and UGT1A Variants on Clinical Response to Opicapone in Parkinson's Disease

Movement Disorders Clinical Practice, EarlyView.
Abstract Background Parkinson's disease (PD) is the second most common neurodegenerative disease. Symptomatic treatment is based on dopaminergic replacement. With disease progression, the initial benefit of levodopa becomes inconsistent, and motor complications emerge.
Elena Ojeda‐Lepe, Sergio García‐Díaz, Laura Muñoz‐Delgado, Miguel Martín‐Bórnez, Silvia Jesús, Dolores Buiza‐Rueda, Marta Bonilla‐Toribio, Rafael Díaz‐Belloso, Daniel Macías‐García, Astrid Adarmes‐Gómez, Antonio Luque‐Ambrosiani, Rocío Pineda‐Sánchez, Lorena Clavijo‐Jiménez, Fátima Carrillo‐García, Pilar Gómez‐Garre, Pablo Mir   +15 more
wiley   +1 more source