In the present day huge amount of data is generated in every minute and transferred frequently. Although the data is sometimes static but most commonly it is dynamic and transactional. New data that is being generated is getting constantly added to the old/existing data. To discover the knowledge from this incremental data, one approach is to run the algorithm repeatedly for the modified data s...

This study uses a unique dataset linking the birth records of two generations of children born in California and Florida (1970-2009) to analyze the mechanisms behind the generational decline observed in birth outcomes of children of Mexican origin. Calibrating a simple model of intergenerational transmission of birth weight, I show that modest positive selection on health at the time of migrati...

Question Generation (QG) and Question Answering (QA) are some of the many challenges for natural language understanding and interfaces. As humans need to ask good questions, the potential benefits from automated QG systems may assist them in meeting useful inquiry needs. In this paper, we consider an automatic Sentence-to-Question generation task, where given a sentence, the Question Generation...

Different kinds of user-generated content are becoming available in mobile digital and web media settings as well spurred by the rapid advances in the cellular telephony market. We use a unique dataset of individual-level mobile records to study the nature of interdependencies between users’ content generation and content usage behavior. While theories of resource constraints from economics pos...

In this paper, we describe the details of our methods for the participation in the subtask of the ImageCLEF 2016 Scalable Image Annotation task: Natural Language Caption Generation. The model we used is the combination of a procedure of encoding and a procedure of decoding, which includes a Convolutional neural network(CNN) and a Long Short-Term Memory(LSTM) based Recurrent Neural Network. We f...

The generation of models relating structure and some form of measurement of structural properties, be it bioactivity or any physicochemical property, consists of the description of the problem, the choice of a dataset of experimental endpoints, and the construction of the actual mathematical model. The descriptor generation was discussed in the first part of this primer, with the conclusion to ...