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Mathematical Methods in Feature Selection: A Review

Mathematics
Feature selection is essential in machine learning and data science. Recently, there has been a growing effort to apply various mathematical methods to construct novel feature selection algorithms.
Firuz Kamalov, Hana Sulieman, Ayman Alzaatreh, Maher Emarly, Hasna Chamlal, Murodbek Safaraliev   +5 more
doaj   +1 more source

Regularization and Model Selection with Categorial Predictors and Effect Modifiers in Generalized Linear Models [PDF]

, 2012
We consider varying-coefficient models with categorial effect modifiers in the framework of generalized linear models. We distinguish between nominal and ordinal effect modifiers, and propose adequate Lasso-type regularization techniques that allow for ...
Gertheiss, Jan, Tutz, Gerhard, Oelker, Margret-Ruth   +2 more
core   +1 more source

Unstable Slope Identification and Monitoring Using Polarization-Enhanced DS-InSAR: A Case Study in the Bailong River Basin

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Interferometry synthetic aperture radar (InSAR) technology has been widely applied to the identification and monitoring of unstable slopes. Recent studies have demonstrated that polarization information can enhance the quality of interferometric phase ...
Yahui Qiu, Yuanjian Wang, Ximin Cui, Debao Yuan, Peixian Li   +4 more
doaj   +1 more source

Entropy convergence in early bilinguals’ syntactic packaging

Frontiers in Psychology, 2022
A core question in developmental and cognitive research concerns the way linguistic variation affects the acquisition process. Previous research on monolinguals suggests that children, but not adults, tend to regularize inconsistent input, resulting in ...
Helen Engemann
doaj   +1 more source

Regularization of the Boundary Equilibrium Bifurcation in Filippov System with Rich Discontinuity Boundaries

Axioms
This paper studies a particular type of planar Filippov system that consists of two discontinuity boundaries separating the phase plane into three disjoint regions with different dynamics. This type of system has wide applications in various subjects. As
Nanbin Cao, Yue Zhang, Xia Liu
doaj   +1 more source

Empirical Evaluation of the Effect of Optimization and Regularization Techniques on the Generalization Performance of Deep Convolutional Neural Network

Applied Sciences, 2020
The main goal of any classification or regression task is to obtain a model that will generalize well on new, previously unseen data. Due to the recent rise of deep learning and many state-of-the-art results obtained with deep models, deep learning ...
Ivana Marin, Ana Kuzmanic Skelin, Tamara Grujic   +2 more
doaj   +1 more source

Deep Adversarial Reinforcement Learning With Noise Compensation by Autoencoder

IEEE Access, 2021
We present a new adversarial learning method for deep reinforcement learning (DRL). Based on this method, robust internal representation in a deep Q-network (DQN) was introduced by applying adversarial noise to disturb the DQN policy; however, it was ...
Kohei Ohashi, Kosuke Nakanishi, Wataru Sasaki, Yuji Yasui, Shin Ishii   +4 more
doaj   +1 more source

Visco-elastic regularization and strain softening

, 2006
In this paper it is intended to verify the capacity of regularization of the numerical solution of an elasto-plastic problem with linear strain softening. The finite element method with a displacement approach is used.
Silva, V. D., Vitor D. Silva, Cardoso, R., Varum, H., Rui S. Cardoso, Humberto Varum   +5 more
core   +1 more source

Regularization for MRI Diffusion Inverse Problem [PDF]

, 2008
In this thesis, we introduce a novel method of reconstructing fibre directions from diffusion images. By modelling the Principal Diffusion Direction PDD (the fibre direction) directly, we are able to apply regularization to the fibre direction explicitly,
Almabruk, Tahani
core  

Regularization and Model Selection with Categorial Effect Modifiers [PDF]

, 2010
The case of continuous effect modifiers in varying-coefficient models has been well investigated. Categorial effect modifiers, however, have been largely neglected.
Gertheiss, Jan, Tutz, Gerhard
core   +1 more source