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Data-Driven Gamification Design Workshop 2017 - The Two Column Style for CEUR-WS
Data-Driven Gamification Design Workshop 2017 - The Two Column Style for CEUR-WS
The Two Column Style for CEUR-WS for the Data-Driven Gamification Design Workshop at Mindtrek 2017 - http://ceur-ws.org/HOWTOSUBMIT.html
Michael Meder
NOMBRE CÓDIGO - CATEGORIZACIÓN
NOMBRE CÓDIGO - CATEGORIZACIÓN
PROYECTO AMAZON
Kiara Lucas
Kamp Sjabloon
Kamp Sjabloon
Sjabloon Kampvoorbereiding volgens richtlijnen Scouts en Gidsen Vlaanderen
Rafael
CSE8803 Project: Mortality Prediction in ICU patients
CSE8803 Project: Mortality Prediction in ICU patients
Accurate prognosis and prediction of a patient's current disease state is critical in an ICU. The use of vast amounts of digital medical information can help in predicting the best course of action for the diagnosis and treatment of patients. The proposed technique investigates the strength of using a combination of latent variable models (latent dirichlet allocation) and structured data to transform the information streams into potentially actionable knowledge. In this project, I use Apache Spark to predict mortality among ICU patients so that it can be used as an acuity surrogate to help physicians identify the patients in need of immediate care.
Pradeep Vairamani
Entropy Minimization Based Synchronization Algorithm for Underwater Acoustic Receivers
Entropy Minimization Based Synchronization Algorithm for Underwater Acoustic Receivers
This paper presents a new entropy minimization criterion and corresponding algorithms that are used for both symbol timing and carrier frequency recovery for underwater acoustic receivers. It relies on the entropy estimation of the eye diagram and the constellation diagram of the received signal. During the parameter search, when perfect synchronization is achieved, the entropy will reach a global minimum, indicating the least intersymbol interference or a restored constellation diagram. Unlike other synchronization methods, this unified criterion can be used to build an all-in-one synchronizer with high accuracy. The feasibility of this method is proven using a theoretical analysis and supported by sea trial measurement data.
Xiao Liu
Tempate for the International Conference on Mechatronics (Mechatronika)
Tempate for the International Conference on Mechatronics (Mechatronika)
This document is an official template for The International Conference on Mechatronics.
Martin Brablc
TDA Mapper Paper Template
TDA Mapper Paper Template
Template for use in the University of Iowa course MATH:3900 Introduction to Math Research.
Harley Waldstein
IWO_RUG_BA_IK
IWO_RUG_BA_IK
Template for the the final project of the course.
T. Caselli
Machine Teaching for Information Extraction
Machine Teaching for Information Extraction
Recent work on information extraction has suggested that fast, interactive tools can be highly effective; however, creating a usable system is challenging, and few publically available tools exist. In this paper we present IKE, a new extraction tool that performs fast, interactive bootstrapping to develop high-quality extraction patterns for targeted relations, and provides novel solutions to these usability concerns. In particular, it uses a novel query language that is expressive, easy to understand, and fast to execute - essential requirements for a practical system - and is the first interactive extraction tool to seamlessly integrate symbolic and distributional methods for search. An initial evaluation suggests that relation tables can be populated substantially faster than by manual pattern authoring or using fully automated tools, while retaining accuracy, an important step towards practical knowledge-base construction.
sumithra

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