Regularization and Variable Selection Via the Elastic Net
Summary We propose the elastic net, a new regularization and variable selection method. Real world data and a simulation study show that the elastic net often outperforms the la...
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Optical Constants of the Noble Metals
The optical constants $n$ and $k$ were obtained for the noble metals (copper, silver, and gold) from reflection and transmission measurements on vacuum-evaporated thin films at ...
La certeza de lo impredecible: Cultura Educación y Sociedad en tiempos de COVID19
El año 2020 ha sido sin duda uno que recordaremos como el más desafiante para nuestra generación, si se le observa desde una perspectiva global. Fue el año en que el mundo se co...
Polymorphic transitions in single crystals: A new molecular dynamics method
A new Lagrangian formulation is introduced. It can be used to make molecular dynamics (MD) calculations on systems under the most general, externally applied, conditions of stre...
Neural networks and physical systems with emergent collective computational abilities.
Computational properties of use of biological organisms or to the construction of computers can emerge as collective properties of systems having a large number of simple equiva...
Deterministic Nonperiodic Flow
Finite systems of deterministic ordinary nonlinear differential equations may be designed to represent forced dissipative hydrodynamic flow. Solutions of these equations can be ...
Welcome to the Tidyverse
RESUMENEvaluación del efecto de un curso nivelatorio de matemáticas en educación superior: el caso de Matemáticas Básicas La investigación evalúa los efectos de tomar un curso d...
YOLO9000: Better, Faster, Stronger
We introduce YOLO9000, a state-of-the-art, real-time object detection system that can detect over 9000 object categories. First we propose various improvements to the YOLO detec...
Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks
State-of-the-art object detection networks depend on region proposal algorithms to hypothesize object locations. Advances like SPPnet and Fast R-CNN have reduced the running tim...
Delving Deep into Rectifiers: Surpassing Human-Level Performance on ImageNet Classification
Rectified activation units (rectifiers) are essential for state-of-the-art neural networks. In this work, we study rectifier neural networks for image classification from two as...