Exploiting large ensembles for a better yet simpler climate model evaluation

The Simpler the Better

We built three different AI models to predict the category (frozen, liquid or none) based on polarimetric radar variables. One model was a long-shot model for the purpose of winning the competition (it didn’t). The second was a complex black box model to represent the average learnability of the dataset. The third was a simple, human-readable model that would perform similarly to the above two ...

teacher educator evaluation model

اگرکیفیت معلم کلاس برای بهبودیادگیری دانش آموزحیاتی است،پس کیفیت اساتیددانشجو-معلمان، یابه عبارتی معلمین معلمان نیزبرای پیشرفت آموزش بسیارمهم واساسی است.ناگفته پیداست که یک سیستم مناسب آموزش معلمان ،معلمین با کیفیتی را تربیت خواهدکرد.که این کار منجربه داشتن مدارس خوب، ودرنتیجه نیروی کارماهرتروشهروندبهتربرای جامعه خواهدشد. اساتیددانشجو-معلمان نقشی بسیارمهم را در سیستم اموزش معلمان درسراسرجهان ای...

Simpler Interfaces for Better 3 D Simulation

As a company providing VR professionals with the immersive visualization and interaction devices they require for their daily tasks, we are witnessing the limitations of existing expert user interfaces that do not address nonadvanced users’ requirements. That is why we aimed at simplifying both 3D interaction devices and the interaction tasks they are associated with, and confronted actual user...

A Better Investment Climate for

A High-Performance Model based on Ensembles for Twitter Sentiment Classification

Background and Objectives: Twitter Sentiment Classification is one of the most popular fields in information retrieval and text mining. Millions of people of the world intensity use social networks like Twitter. It supports users to publish tweets to tell what they are thinking about topics. There are numerous web sites built on the Internet presenting Twitter. The user can enter a sentiment ta...