Adaptive Elastic Net GMM Estimation with Many Invalid Moment Conditions: Simultaneous Model and Moment Selection

In this chapterr, the authors propose an adaptive Elastic Net method for edge linking of images. Edge linking is a fundamental computer-vision task, which is a constrained optimization problem. In the proposed method, an adaptive dynamic parameter strategy and a stochastic noise strategy are introduced into the Elastic Net, which enables the network to have superior ability for escaping from local minima and converge sooner to optimal or near-optimal solutions. Simulations confirm that the proposed method could produce more meaningful contours than the original Elastic Net in shorter time.

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Variable selection via the adaptive elastic net: mathematics success of the students in Singapore and Turkey

Volume 1, Issue 1 - Journal of Applied Microeconometrics ◽

10.53753/jame.1.1.04 ◽

2021 ◽

Vol 1 (1) ◽

pp. 41-55

Author(s):

Kadriye Hilal Topal

Keyword(s):

Variable Selection ◽

Communication Technologies ◽

Elastic Net ◽

Quality Of Education ◽

Information Communication Technologies ◽

Information Communication ◽

Regression Methods ◽

Adaptive Elastic Net ◽

Mathematics Success

The quality of education is crucial for its competitiveness in the developing world. International tests are organized at regular intervals to measure the quality of education and to see the place in the ranking of countries. The surveys on these examinations have provided a large number of variables that can be effective on the scores of the tests, including family, teacher, school and course equipment and information communication technologies, etc. The important question is which variables are relevant for the students' achievement in these tests. We investigated the barriers of mathematics success of Turkish students in the TIMSS exam and compared their status with Singaporean students who took part in at top of the ranking in the exam. For this, we employed the adaptive elastic net which is one of the regularized regression methods to dataset and compared their prediction accuracy according to three different alpha levels [0.1; 0.5; 0.9] to determine the model that has high variable selection ability with optimal prediction. The adaptive elastic net with the alpha level [0.9] was selected as superior to others. As the findings, a technology-oriented education system can help to success of the students in Turkey and the countries having similar experiences in international tests.

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Choosing the optimal hybrid covariance estimators in adaptive elastic net regression models using information complexity

Journal of Statistical Computation and Simulation ◽

10.1080/00949655.2019.1647431 ◽

2019 ◽

Vol 89 (16) ◽

pp. 2983-2996

Author(s):

Esra Pamukcu

Keyword(s):

Regression Models ◽

Elastic Net ◽

Information Complexity ◽

Adaptive Elastic Net

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An Adaptive Elastic Net Method for Edge Linking of Images

International Journal of Interdisciplinary Telecommunications and Networking ◽

10.4018/ijitn.2015040101 ◽

2015 ◽

Vol 7 (2) ◽

pp. 7-19

Author(s):

Junyan Yi ◽

Gang Yang ◽

Xiaoxuan Ma ◽

Xiaoyun Shen

Keyword(s):

Optimization Problem ◽

Dynamic Parameter ◽

Elastic Net ◽

Stochastic Noise ◽

Optimal Solutions ◽

Local Minima ◽

Constrained Optimization Problem ◽

Edge Linking ◽

Net Method ◽

Adaptive Elastic Net

In this paper, the authors propose an adaptive Elastic Net method for edge linking of images. Edge linking is a fundamental computer-vision task, which is a constrained optimization problem. In the proposed method, an adaptive dynamic parameter strategy and a stochastic noise strategy are introduced into the Elastic Net, which enables the network to have superior ability for escaping from local minima and converge sooner to optimal or near-optimal solutions. Simulations confirm that the proposed method could produce more meaningful contours than the original Elastic Net in shorter time.

Download Full-text