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Hierarchical Adaptive Lasso: Learning Sparse Neural Networks with Shrinkage via Single Stage Training
Deep neural networks achieve state-of-the-art performance in a variety o...
08/24/2020 ∙ by Skyler Seto, et al. ∙
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Modeling Nonlinear Growth Followed by Long-Memory Equilibrium with Unknown Change Point
Measurements of many biological processes are characterized by an initia...
07/18/2020 ∙ by Wenyu Zhang, et al. ∙
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CAZSL: Zero-Shot Regression for Pushing Models by Generalizing Through Context
Learning accurate models of the physical world is required for a lot of ...
03/26/2020 ∙ by Wenyu Zhang, et al. ∙
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Multi-label Prediction in Time Series Data using Deep Neural Networks
This paper addresses a multi-label predictive fault classification probl...
01/27/2020 ∙ by Wenyu Zhang, et al. ∙
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Toward Intelligent Network Optimization in Wireless Networking: An Auto-learning Framework
In wireless communication systems (WCSs), the network optimization probl...
12/19/2018 ∙ by Wenyu Zhang, et al. ∙
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ABACUS: Unsupervised Multivariate Change Detection via Bayesian Source Separation
Change detection involves segmenting sequential data such that observati...
10/15/2018 ∙ by Wenyu Zhang, et al. ∙
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Financial Forecasting and Analysis for Low-Wage Workers
Despite the plethora of financial services and products on the market no...
06/14/2018 ∙ by Wenyu Zhang, et al. ∙
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Multivariate Time Series Classification Using Dynamic Time Warping Template Selection for Human Activity Recognition
Accurate and computationally efficient means for classifying human activ...
12/21/2015 ∙ by Skyler Seto, et al. ∙
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