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Federated learning (FL) is a pivotal paradigm for financial institutions to collaboratively train models while preserving data privacy, yet standard frameworks are hampered by a triad of challenges: vulnerability to pois...

Materias / palabras clave: No

Fil: Coppolecchio, Leandro Gastón. Universidad Nacional de La Matanza; Argentina. Ciberculturas bien podría ser un texto de género fantástico o ciencia ficción si no estuviese constituido a partir del análisis de l...

Fil: Eissa, Sergio G. Universidad de Buenos Aires; Argentina. Fil: Eissa, Sergio G. Universidad Nacional de San Martín; Argentina. Fil: Eissa, Sergio G. Instituto Universitario de la Gendarmería Nacional; Argentina.

The WinGX suite provides a complete set of programs for the treatment of small-molecule single-crystal diffraction data, from data reduction and processing, structure solution, model refinement and visualization, and met...

Materias / palabras clave: Separable space; Feature (linguistics); Feature integration theory; Artificial intelligence; Computer science; Variety (cybernetics); Stimulus (psychology); Identification (biology); Pattern recognition (psychology); Cog...

A training algorithm that maximizes the margin between the training patterns and the decision boundary is presented. The technique is applicable to a wide variety of the classification functions, including Perceptrons, p...

BACKGROUND AND OBJECTIVES: The expansion of evidence-based practice across sectors has lead to an increasing variety of review types. However, the diversity of terminology used means that the full potential of these revi...

This article provides researchers with a guide to properly construe and conduct analyses of conditional indirect effects, commonly known as moderated mediation effects. We disentangle conflicting definitions of moderated...

The difficulties inherent in obtaining consistent and adequate diagnoses for the purposes of research and therapy have been pointed out by a number of authors. Pasamanick12in a recent article viewed the low interclinicia...

The fifth phase of the Coupled Model Intercomparison Project (CMIP5) will produce a state-of-the- art multimodel dataset designed to advance our knowledge of climate variability and climate change. Researchers worldwide ...

The network structure of a hyperlinked environment can be a rich source of information about the content of the environment, provided we have effective means for understanding it. We develop a set of algorithmic tools fo...

The caret package, short for classification and regression training, contains numerous tools for developing predictive models using the rich set of models available in R. The package focuses on simplifying model training...

Materias / palabras clave: Variety (cybernetics); Computer science; Mathematics education; Calculus (dental); Mathematics; Management science; Engineering; Artificial intelligence; Medicine; Dentistry

Written by one of the preeminent researchers in the field, this book provides a comprehensive exposition of modern analysis of causation. It shows how causality has grown from a nebulous concept into a mathematical theor...

Current gradient-corrected density-functional approximations for the exchange energies of atomic and molecular systems fail to reproduce the correct 1/r asymptotic behavior of the exchange-energy density. Here we report ...

Abstract An individual has a theory of mind if he imputes mental states to himself and others. A system of inferences of this kind is properly viewed as a theory because such states are not directly observable, and the s...

An automated method for segmenting magnetic resonance head images into brain and non-brain has been developed. It is very robust and accurate and has been tested on thousands of data sets from a wide variety of scanners ...

Materias / palabras clave: Computer science; Suite; Neuroimaging; Software; Variety (cybernetics); Open source; Software suite; Human brain; Artificial intelligence; Software package; Pattern recognition (psychology); Neuroscience

Generative adversarial networks are a kind of artificial intelligence algorithm designed to solve the generative modeling problem. The goal of a generative model is to study a collection of training examples and learn th...

Google Earth Engine is a cloud-based platform for planetary-scale geospatial analysis that brings Google's massive computational capabilities to bear on a variety of high-impact societal issues including deforestation, d...

Materias / palabras clave: Reinforcement learning; Computer science; Artificial intelligence; Variety (cybernetics); Deep learning; Control (management); Perception; Human–computer interaction; Machine learning; Neuroscience; Biology

Materias / palabras clave: Variety (cybernetics); Computer science; Decision tree; Machine learning; ID3; Inference; Inductive reasoning; Artificial intelligence; ID3 algorithm; Management science; Decision tree learning; Incremental decision tree

MapReduce is a programming model and an associated implementation for processing and generating large datasets that is amenable to a broad variety of real-world tasks. Users specify the computation in terms of a map and ...