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Found 9 papers, 4 papers with code
Dynamical correlation enhanced orbital magnetization in VI$_{3}$
In contrast to the density functional theory that leads to negligible orbital magnetization in VI$_3$, in dynamical mean-field approach the orbital magnetization is greatly enhanced.
Strongly Correlated Electrons
Soft Gradient Boosting Machine
Gradient Boosting Machine has proven to be one successful function approximator and has been widely used in a variety of areas.
Learning to Confuse: Generating Training Time Adversarial Data with Auto-Encoder
In this work, we consider one challenging training time attack by modifying training data with bounded perturbation, hoping to manipulate the behavior (both targeted or non-targeted) of any corresponding trained classifier during test time when facing clean samples.
GP-RVM: Genetic Programing-based Symbolic Regression Using Relevance Vector Machine
The solution produced by GP-RVM is a sparse Bayesian linear model of the coefficients of many non-linear functions.
Multi-Layered Gradient Boosting Decision Trees
Multi-layered representation is believed to be the key ingredient of deep neural networks especially in cognitive tasks like computer vision.
Distributed Deep Forest and its Application to Automatic Detection of Cash-out Fraud
This model can block fraud transactions in a large amount of money each day.
AutoEncoder by Forest
Auto-encoding is an important task which is typically realized by deep neural networks (DNNs) such as convolutional neural networks (CNN).
Deep Forest
This study opens the door of deep learning based on non-differentiable modules, and exhibits the possibility of constructing deep models without using backpropagation.
Extend natural neighbor: a novel classification method with self-adaptive neighborhood parameters in different stages
Various kinds of k-nearest neighbor (KNN) based classification methods are the bases of many well-established and high-performance pattern-recognition techniques, but both of them are vulnerable to their parameter choice.
