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Scaling Graph Propagation Kernels for Predictive Learning

Priyesh Vijayan, Yash Chandak, Mitesh M. Khapra, Srinivasan Parthasarathy, Balaraman Ravindran
2022 Frontiers in Big Data  
Finally, extensive evaluation across 11 datasets showcases the improved results and robustness of our proposed iterative framework, I-HOP.  ...  This recursive nature of I-HOP provides an exponential reduction in time and space complexity over straightforward differentiable graph kernels.  ...  and SP: helped PV analyze and present the experiment results. PV: wrote the manuscript with support from YC and guidance from BR, MK, and SP. BR: supervised the project through its entirety.  ... 
doi:10.3389/fdata.2022.616617 pmid:35464122 pmcid:PMC9026185 fatcat:7qhsnr3elzcgnoq6sfw4hixrui

Sensitivity Analysis and Evaluation of Forest Biomass Production Potential Using SWAT Model

Sunita Khanal, Prem B. Parajuli
2014 Journal of Sustainable Bioenergy Systems  
The results indicate satisfactory performance of SWAT in predicting potential forest biomass, which is shown by the high value of coefficient of determination (R 2 = 0.83), small root mean square error  ...  Further, results indicate moderate sensitivity of DLAI and BIOE and low sensitivity of BLAI with relative sensitivity index of 0.44, 0.35 and 0.14, respectively.  ...  Parameter Definition Base Value Range LAIMX1 Fraction of the maximum plant leaf area index corresponding to the 1 st point on the optimal leaf area development curve 0.05 0 -1 CHTMX Plant's  ... 
doi:10.4236/jsbs.2014.42013 fatcat:qtuxcgruavaizk2bto6isevbdy

An Empirical Study of Alxa League Energy Consumption and Environmental Pollution in China

Peilin Li, Jialin Liu, Haiying Ma
2015 Journal of Management and Strategy  
Finally, the suggestion, including Optimized energy consumption structure, modify the industrial structure, Introduced Market Mechanism and so on, is made to solve the environmental problems in Alxa League  ...  actively, optimizing energy structure, encouraging the implementation of energy conservation, improving energy efficiency, etc., which makes sense for having efforts to reduce the emissions of greenhouse  ...  In the long run, it will definitely affect the local economy sustained.  ... 
doi:10.5430/jms.v6n3p21 fatcat:fk2aqxicpzhubig6a7loq4ym6m

ConvDroid: Lightweight Neural Network based Andoird Malware Detection

Sifan Wu, Xi Xiao
2019 Australian Journal of Intelligent Information Processing Systems  
Where, most of these techniques are depending on the complex feature engineering process and have a resource and time expensive classification neural network.  ...  In Recent years, with the development of the neural network, more and more research is focusing on detecting malware based on the neural network.  ...  Our optimization objective is to minimize the cross entropy between predicted label and true label. And then we use back-propagation to update the parameter of neural network.  ... 
dblp:journals/ajiips/WuX19 fatcat:3foe6cioibeqnptbxs35xxlqf4


Rajiv Sharm
2012 International Journal for Quality Research  
A Conceptual framework with lean manufacturing and hum an factors interventions for improving business performance in terms of improved quality, reduced cost and faster de livery is presented and example  ...  Nowadays organizations compete between themselves in various categories such as faster delivery, price tags, state of art - technology and higher quality dimensio ns.  ...  In order to optimize human well-being and overall system performance."" (IEA Council, 2000) .  ... 
doaj:44eff70dbbef41429d0f742ce0afe2c7 fatcat:oci55tbkjnbbnj3hlqcrlyp6p4

Barlow constrained optimization for Visual Question Answering [article]

Abhishek Jha, Badri N. Patro, Luc Van Gool, Tinne Tuytelaars
2022 arXiv   pre-print
Visual question answering is a vision-and-language multimodal task, that aims at predicting answers given samples from the question and image modalities.  ...  We propose a constrained optimization policy to balance the categorical and redundancy minimization forces.  ...  prediction and bottom-right shows the top-5 baseline predictions with their probability scores.  ... 
arXiv:2203.03727v1 fatcat:2eh5itiv5ncufnelhvpvvxuzh4

Recovering From Parser Failures: A Hybrid Statistical/Symbolic Approach [article]

Carolyn Penstein Rose', Alex Waibel
1994 arXiv   pre-print
By drawing upon both statistical and symbolic information, it constrains its repair hypotheses to those which are both likely and meaningful.  ...  We describe a module which takes as input a fragmented parse and returns a repaired meaning representation.  ...  But I have not found an optimal maximum number of questions.  ... 
arXiv:cmp-lg/9407025v1 fatcat:j35c5qq2y5h5vcdrhsneczqony

Development of nanostructured lipid carriers containing salicyclic acid for dermal use based on the Quality by Design method

A. Kovács, Sz. Berkó, E. Csányi, I. Csóka
2017 European Journal of Pharmaceutical Sciences  
The aim of our present work was to evaluate the applicability of the Quality by Design (QbD) methodology in the development and optimalization of nanostructured lipid carriers containing salicyclic acid  ...  Based on our experiments, an optimal formulation can be obtained when the surfactant concentration is set to 5%, the solid lipid/liquid lipid ratio is 7:3 and ultrasonication time is 20 minutes.  ...  of X3 predicts a directly propotional relationship.  ... 
doi:10.1016/j.ejps.2016.12.020 pmid:28012940 fatcat:ptoodth2ivgz7hje4ztp6halh4

A Comparison Between Spectral Analysis and Artificial Neural Networks to Determine the Best Prediction Model with Application

Emaan Yousif, Abdoon Al-Shabbani, Habib Mohammed, Al-Sharoot
that achieve the desired interest and promoting their business management. 14-The artificial neural networks methodology is better than the spectral ananlysis methodology in making accurate predictions  ...  The ANN was used, and the backpropagation with Levenberg-Marquard optimization technique was used to train the network.  ... 

Frequency selection in a gravitationally stretched capillary jet in the jetting regime [article]

Isha Shukla, François Gallaire
2019 arXiv   pre-print
However in the global framework, the resolvent analysis supplemented by a simple approximation of the required response norm inducing breakup, is shown to correctly predict the optimal forcing frequency  ...  at a given forcing amplitude and the resulting jet breakup length.  ...  We note that all the curves, irrespective of the domain size, predict the same optimal forcing frequency ω opt = 0.74 − 0.76, a value close to the nonlinear prediction of Fig. 20 .  ... 
arXiv:1908.03767v1 fatcat:jsu4klo4tjeoxb2l5tzrfmidoi

Development of the tourism cluster

Margarita Boiko, Myroslava Bosovska, Nadiia Vedmid, Svitlana Melnychenko, Alla Okhrimenko
2017 Problems and Perspectives in Management  
The need for a constructive rethinking of the mechanisms of economic actors' convergence based on cauterization; definition of preconditions, stages, and processes of formation and development of tourism  ...  interrelations and relationships between participants; definition of tourist attractiveness of the destination for the development of cluster initiatives; algorithmization of the participant's entry to  ...  We propose to predict the expected changes in the intensity and quality of the participant interaction with other subjects of the cluster using trend models.  ... 
doi:10.21511/ppm.15(4).2017.12 fatcat:kbdqglozhvggvbu3fyl24t2xg4

Visual and Textual Jointly Enhanced Interpretable Fashion Recommendation

Qianqian Wu, Pengpeng Zhao, Zhiming Cui
2020 IEEE Access  
The VTJEI can provide more accurate recommendations and visual and textual explanations through the joint enhancement of textual information and visual information.  ...  However, they ignored the invisible features, such as the material and quality of the clothes, and failed to offer textual explanations.  ...  Finally, we introduce the optimization function objective. A.  ... 
doi:10.1109/access.2020.2978272 fatcat:glxv7c2nsrb6xnsbqlcntfkmte

Performance Analysis and Optimization for the MAC Protocol in UAV-based IoT network

Bin Li, Xianzhen Guo, Ruonan Zhang, Xiaojiang Du, Mohsen Guizani
2020 IEEE Transactions on Vehicular Technology  
A modified three-dimensional Markov chain model adopting the quitting probability and cluster division is developed for the performance analysis.  ...  Finally, the effects of retry limit, initial contention window size, the density of the devices, UAVs speed and coverage area are discussed in the simulation section.  ...  The sensors' wake-up scheme and UAV's trajectory were jointly optimized using a convex sub-optimal optimization solution for energy-efficiency.  ... 
doi:10.1109/tvt.2020.2997782 fatcat:qpzpydzggncqfmcie5n6otqmye

Validating traditional Chinese syndrome features in varied stages of chronic gastritis malignant transformation: study protocol for a cross-sectional study

Yin Zhang, Yue Liu, Rui Song, Li Zhang, Zeqi Su, Yannan Li, Runhua Chen, Ning Shi, Xia Zhao, Shiyu Du, Xia Ding
2018 BMJ Open  
We are grateful to all the participants and staffs from Dongzhimen Hospital Affiliated to BUCM, Dongfang Hospital Affiliated to BUCM, Wangjing Hospital Affiliated to CACMS, and the 3rd Affiliated Hospital  ...  We are grateful to all the participants and staffs from Dongzhimen Hospital Affiliated to BUCM, Dongfang Hospital Affiliated to BUCM, Wangjing Hospital Affiliated to CACMS, and the 3rd Affiliated Hospital  ...  A list of degree-definition of all the TCM indicators is attached to each CRF for investigators and participants to refer to.  ... 
doi:10.1136/bmjopen-2017-020939 pmid:30166291 pmcid:PMC6119419 fatcat:fwfqqdnz4vaojdcbgxervw6ngy

Generalized Singular Value Thresholding [article]

Canyi Lu, Changbo Zhu, Chunyan Xu, Shuicheng Yan, Zhouchen Lin
2018 arXiv   pre-print
Lin is supported by NSF China (grant nos. 61272341 and 61231002), 973 Program of China  ...  Acknowledgements This research is supported by the Singapore National Research Foundation under its International Research Centre @Singapore Funding Initiative and administered by the IDM Programme Office  ...  Their definitions are shown in Table 1. Numerical studies (Candès, Wakin, and Boyd 2008) have shown that the nonconvex optimization usually outperforms convex models.  ... 
arXiv:1412.2231v2 fatcat:vce6u4i3cvho7eohu3pwg4m66a
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