Examples of using For modeling in English and their translations into Chinese
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Cinema 4D provides a non-destructive workflow for modeling, including procedural shaders and textures.
This flexibility can be particularly helpful for modeling unstructured and polymorphic data.
Modeling/ Machine Learning: For modeling, caret package in R is powerful enough to cater to every need for creating machine learning model. .
Then, we explain a well-established paradigm for modeling social stress in rodents, the Resident-Intruder task.
In business, game theory is beneficial for modeling competing behaviors between economic agents.
Logic provides computer science with both a unifying foundational framework and a tool for modeling.
Gaussian 03 offers the Polarizable Continuum Model(PCM) for modeling system in solution.
Hence, for every analyst(fresher also), it's important to learn these algorithms and use them for modeling.
Instance-based learning, as it's sometimes called, is supposedly better for modeling how we remember specific episodes in our lives;
In COMSOL Multiphysics version 5.2, the CFD and Microfluidics modules include a new fluid flow interface for modeling separated three-phase flow.
The researchers are also sharing their findings with commercial companies in exchange for modeling software.
Hence, for every analyst(fresher also), it's important to learn these algorithms and use them for modeling.
The Dempster-Shafer theory of belief functions is a formal framework for modeling and reasoning with uncertainty.
Building upon the architecture in our first paper, we propose a new unsupervised method for modeling latent"factors" of speech.
The data available for modeling is usually from different assets at various stages of degradation.
To develop easy-to-use software for modeling and simulation of real world multiphysics systems.
Next, you will dive into how to use them for modeling and animation.
CloudFormation, if you're new to AWS, is an absolutely essential tool for modeling and defining your infrastructure as code(YAML or JSON).
Studying an area known to physicists as dynamic critical phenomena, this experiment provided theorists with new guidance for modeling how systems with many degrees of freedom respond to fluctuations.
Dr. Burns' current research is focused on computational methods for modeling, control, estimation and optimization of complex engineering systems where spatially distributed information is essential.