Results 91 to 100 of about 28,744 (310)

Parsimonious Predictive Mortality Modeling by Regularization and Cross-Validation with and without Covid-Type Effect

Risks, 2020
Predicting the evolution of mortality rates plays a central role for life insurance and pension funds. Standard single population models typically suffer from two major drawbacks: on the one hand, they use a large number of parameters compared to the ...
Karim Barigou, Stéphane Loisel, Yahia Salhi   +2 more
doaj   +1 more source

An elastic net orthogonal forward regression algorithm

, 2012
In this paper we propose an efficient two-level model identification method for a large class of linear-in-the-parameters models from the observational data. A new elastic net orthogonal forward regression (ENOFR) algorithm is employed at the lower level
Chen, Sheng, Hong, Xia
core  

VAE+DDPG: An Attention‐Enhanced Variational Autoencoder for Deep Reinforcement Learning‐Based Autonomous Navigation in Low‐Light Environments

Advanced Intelligent Systems, EarlyView.
Variational Autoencoder+Deep Deterministic Policy Gradient addresses low‐light failures of infrared depth sensing for indoor robot navigation. Stage 1 pretrains an attention‐enhanced Variational Autoencoder (Convolutional Block Attention Module+Feature Pyramid Network) to map dark depth frames to a well‐lit reconstruction, yielding a 128‐D latent code ...
Uiseok Lee, Chanhong Hwang, Hyunseok Kang, Yechan Park, Hangwoo Jin, Tuan Anh Nguyen, Eunmi Choi, Dugki Min   +7 more
wiley   +1 more source

Benefit and harm of intensive blood pressure treatment: Derivation and validation of risk models using data from the SPRINT and ACCORD trials.

PLoS Medicine, 2017
BackgroundIntensive blood pressure (BP) treatment can avert cardiovascular disease (CVD) events but can cause some serious adverse events. We sought to develop and validate risk models for predicting absolute risk difference (increased risk or decreased ...
Sanjay Basu, Jeremy B Sussman, Joseph Rigdon, Lauren Steimle, Brian T Denton, Rodney A Hayward   +5 more
doaj   +1 more source

Bridgeout: Stochastic Bridge Regularization for Deep Neural Networks

IEEE Access, 2018
A major challenge in training deep neural networks is overfitting, i.e. inferior performance on unseen test examples compared to performance on training examples.
Najeeb Khan, Jawad Shah, Ian Stavness
doaj   +1 more source

On Security and Sparsity of Linear Classifiers for Adversarial Settings

, 2016
Machine-learning techniques are widely used in security-related applications, like spam and malware detection. However, in such settings, they have been shown to be vulnerable to adversarial attacks, including the deliberate manipulation of data at test ...
B Biggio, B Biggio, B Biggio, B Biggio, C Cortes, D Maiorca, F Sebastiani, F Zhang, H Xu, H Zou, R Bondell, S Sra   +11 more
core   +1 more source

Addendum: Regularization and Variable Selection Via the Elastic Net

Journal of the Royal Statistical Society Series B: Statistical Methodology, 2005
We missed an important reference in Section 3.4. In page 309 we stated that ‘. . . which is based on the recently proposed algorithm LARS of Efron et al. (2004). They proved that, starting from zero, the lasso solution paths grow piecewise linearly in a predictable way.
Hui Zou, Trevor Hastie
openaire   +1 more source

Artificial Intelligence for Multiscale Modeling in Solid‐State Physics and Chemistry: A Comprehensive Review

Advanced Intelligent Systems, EarlyView.
This review explores the transformative impact of artificial intelligence on multiscale modeling in materials research. It highlights advancements such as machine learning force fields and graph neural networks, which enhance predictive capabilities while reducing computational costs in various applications.
Artem Maevskiy, Vitalii Kapitan, Andrey Ustyuzhanin   +2 more
wiley   +1 more source

MusicSwarm: Biologically Inspired Intelligence for Music Composition

Advanced Intelligent Systems, EarlyView.
Biologically inspired swarms of frozen foundation models self‐organize to compose complex music without fine‐tuning. By coordinating through stigmergic signals, decentralized agents dynamically evolve specialized roles and adapt to solve complex tasks.
Markus J. Buehler
wiley   +1 more source

A Bayesian Hierarchical Cox Model with Elastic Net Regularization for Improved Survival Prediction and Feature Selection

Mathematics
In recent years, the growing availability of large-scale data across a wide range of disciplines has created new opportunities for developing models that improve the predictive accuracy of statistical models.
Bulus I. Doroh, Kazeem A. Dauda, Rasheed K. Lamidi   +2 more
doaj   +1 more source