Topic Tag: ads

home Forums Topic Tag: ads

 Eye-Movement behavior identification for AD diagnosis

 

In the present work, we develop a deep-learning approach for differentiating the eye-movement behavior of people with neurodegenerative diseases over healthy control subjects during reading well-defined sentences. We define an information compaction of the eye-tracking data of subjects without and …


 Lets keep it simple, Using simple architectures to outperform deeper and more complex architectures

   

Major winning Convolutional Neural Networks (CNNs), such as AlexNet, VGGNet, ResNet, GoogleNet, include tens to hundreds of millions of parameters, which impose considerable computation and memory overhead. This limits their practical use for training, optimization and memory efficiency. On the con…


 Latest Innovations in TensorFlow Serving

  

Posted by Chris Olston, Research Scientist, and Noah Fiedel, Software Engineer, TensorFlow Serving Since initially open-sourcing TensorFlow Serving in February 2016, we’ve made some major enhancements. Let’s take a look back at where we started, review our progress, and share where we are head…


 HANDY: A Hybrid Association Rules Mining Approach for Network Layer Discovery of Services for Mobile Ad hoc Network

Mobile Ad hoc Network (MANET) is an infrastructure-less network formed between a set of mobile nodes. The discovery of services in MANET is a challenging job due to the unique properties of network. In this paper, a novel service discovery framework called Hybrid Association Rules Based Network Lay…


 Multi-level Feedback Web Links Selection Problem: Learning and Optimization

Selecting the right web links for a website is important because appropriate links not only can provide high attractiveness but can also increase the website’s revenue. In this work, we first show that web links have an intrinsic emph{multi-level feedback structure}. For example, consider a $…


 Formulation of Deep Reinforcement Learning Architecture Toward Autonomous Driving for On-Ramp Merge

     

Multiple automakers have in development or in production automated driving systems (ADS) that offer freeway-pilot functions. This type of ADS is typically limited to restricted-access freeways only, that is, the transition from manual to automated modes takes place only after the ramp merging proce…


 Bandits with Knapsacks

Multi-armed bandit problems are the predominant theoretical model of exploration-exploitation tradeoffs in learning, and they have countless applications ranging from medical trials, to communication networks, to Web search and advertising. In many of these application domains the learner may be co…


 Telepath: Understanding Users from a Human Vision Perspective in Large-Scale Recommender Systems

    

Designing an e-commerce recommender system that serves hundreds of millions of active users is a daunting challenge. From a human vision perspective, there’re two key factors that affect users’ behaviors: items’ attractiveness and their matching degree with users’ interests.…


 CSI: A Hybrid Deep Model for Fake News Detection

  

The topic of fake news has drawn attention both from the public and the academic communities. Such misinformation has the potential of affecting public opinion, providing an opportunity for malicious parties to manipulate the outcomes of public events such as elections. Because such high stakes are…