We are concerned with robust and accurate forecasting of multiphase flow rates in wells and pipelines during oil and gas production. In practice, the possibility to physically measure the rates is often limited; besides, it is desirable to estimate future values of multiphase rates based on the previous behavior of the system. In this work, we demonstrate that a Long Short-Term Memory (LSTM) re...

This study reports on the application of the knowledge discovery in database process to generate models that can predict the likelihood of falls among the elderly who reside in long-term care facilities. This process was applied to data held in the Minimum Data Set, a comprehensive resident assessment instrument being used in all Medicare and Medicaid supported nursing homes in the United State...

The decidability of algebraic higher-order matching is proved. Algebraic higher-order matching is a matching where the constant term in equation is built of first-order constants and constants of a base type. This result is particularly appealing in the light of the last result of Loader.

This paper provides a progress report on a project that aims to understand how people think about and understand statistical data presented in tables. The focus is on people who are not statistical specialists. To this end, studies of various user populations were conducted, underlying data enrichment and explanation was investigated, and interactive user interface prototypes were developed and...

In this paper, we use the “2002 Chinese Household Income Project Survey” (CHIPS2002) data to examine how heterogeneous social interactions affect the peer effect in the rural–urban migration decision in China. We find that the peer effect, measured by the village migration ratio, significantly increases the individual probability of outward migration. We also find that the magnitude of the peer...

3 Application I–Step-by-step analysis 3 3.1 Data preprocessing . . . . . . . . . . . . . . . . . . . . . . . . 4 3.2 Beta-mixture modelling . . . . . . . . . . . . . . . . . . . . . . 5 3.3 Enrichment analyses . . . . . . . . . . . . . . . . . . . . . . . 7 3.4 Incorporating protein-protein interactions . . . . . . . . . . . . 9 3.5 Inferring a posterior association network . . . . . . . . . . ...

In this paper we propose an approach for the automatic enrichment of standardized electronic dictionaries by the semantic classes. This approach consists of three phases. The first phase treat the semantic classification process founded on the studies of Gaston Gross. The second phase profites from the existed subject fields in the dictionary's lexical entries in order to attribute the suitable...

We investigate fully automatic recognition of singer traits, i. e., gender, age, height and ‘race’ of the main performing artist(s) in recorded popular music. Monaural source separation techniques are combined to simultaneously enhance harmonic parts and extract the leading voice. For evaluation the UltraStar database of 581 pop music songs with 516 distinct singers is chosen. Extensive test ru...