A GREEDY DATA COLLECTION SCHEME FOR LINEAR DYNAMICAL SYSTEMS

A greedy data collection scheme for linear dynamical systems

Mathematical models are essential to analyze and understand the dynamics of complex systems.Recently, data-driven methodologies have gotten a lot of attention which is leveraged by advancements in sensor technology.However, the quality of equi-jec 6 obtained data plays a vital role in learning a good and reliable model.Therefore, in this paper, we

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Multi-Level Cross-Lingual Transfer Learning With Language Shared and Specific Knowledge for Spoken Language Understanding

Recently conversational agents effectively improve their understanding capabilities by neural networks.Such deep neural models, however, do not apply to most human languages due to the lack of annotated training data for read more various NLP tasks.In this paper, we propose a multi-level cross-lingual transfer model with language shared and specifi

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Improving Robustness Using MixUp and CutMix Augmentation for Corn Leaf Diseases Classification based on ConvMixer Architecture

Corn leaf diseases such as blight spot, gray leaf spot, and common rust still lurk in corn fields.This problem must be solved to help corn farmers.The ConvMixer model, consisting of a patch embedding layer, is a new model with a simple structure.When socialstudiesscholar.com training a model with ConvMixer, improvisation is an important part that n

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Attitudes and Perceived Barriers to Research Among Residents in Obstetrics and Gynecology in Trinidad and Tobago: A National Multicenter Cross-sectional Study

OBJECTIVES High-quality research forms the basis of evidence-based practice and sets the foundation for trainees to develop critical thinking skills and approach clinical problems with an inquisitive mind.The attitudes to research however vary widely and there are significant barriers to conducting research relevant to each clinical discipline.Unde

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