Search results with tag "Dataset"
Stata: Software for Statistics and Data Science | Stata
www.stata.com2merge— Merge datasets Menu Data > Combine datasets > Merge two datasets Description merge joins corresponding observations from the dataset currently in memory (called the master dataset) with those from filename.dta (called the using dataset), matching on one or more key
Google Cloud Public Datasets
services.google.comGoogle Cloud Public Datasets Google Cloud Public Datasets facilitate access to high-demand public datasets making it easy for you to access and uncover new insights in the cloud. By hosting these datasets in BigQuery and Google Cloud Storage, you can seamlessly experience the full value of Google Cloud with the touch of a button.
THE QOG STANDARD DATASET 2021
www.qogdata.pol.gu.seThe Standard, Basic, and OECD datasets are all aailablev in both time-series (TS) and cross-sectional (CS) versions, as separate datasets. In the TS datasets, the unit of analysis is country-year (e.g. Sweden-1984, Sweden-1985 and so on). The CS datasets, unlike the TS …
G079 Dataset for histopathological reporting of …
www.rcpath.orgThis document provides the dataset for the histopathological reporting of primary neoplasms of the ovaries, fallopian tubes and peritoneum in resection specimens and replaces the original versions of the dataset. This new dataset has been extensively revised to align with the corresponding 2015 ICCR dataset.1 It ...
The USPTO Patent Assignment Dataset: Descriptions and …
www.uspto.govpatent and trademark assignment datasets in formats more convenient for comprehensive statistical analysis than has been previously available.1 This paper describes the variables in the USPTO Patent Assignment Dataset (hereafter Dataset), an organized relational database of assignments and other
Learning Imbalanced Datasets with Label-Distribution …
proceedings.neurips.cchere assume the knowledge of the test label distribution, using which we design efficient methods that can scale easily to large-scale vision datasets with significant improvements. Meta-learning. Meta-learning is also used in improving the performance on imbalanced datasets or the few shot learning settings.
Datasheets for Datasets - microsoft.com
www.microsoft.comDatasheets for Datasets Timnit Gebru1 Jamie Morgenstern2 Briana Vecchione3 Jennifer Wortman Vaughan1 Hanna Wallach1 Hal Daumé III1 4 Kate Crawford1 5 Abstract The machine learning community has no stan-dardized way to document how and why a dataset was created, what information it contains, what tasks it should and should not be used for, and
Learning Transferable Visual Models From Natural Language ...
proceedings.mlr.press2.1. Creating a Sufficiently Large Dataset Existing work has mainly used three datasets, MS-COCO (Lin et al.,2014), Visual Genome (Krishna et al.,2017), and YFCC100M (Thomee et al.,2016). While MS-COCO and Visual Genome are high quality crowd-labeled datasets, they are small by modern standards with approximately 100,000 training photos each.
Seaborn - Tutorialspoint
www.tutorialspoint.comSeaborn comes with a few important datasets in the library. When Seaborn is installed, the datasets download automatically. You can use any of these datasets for your learning. With the help of the following ... u'titanic'] DataFrames store data in the form of rectangular grids by which the data can be
Prerequisite - Tutorialspoint
www.tutorialspoint.comResilient Distributed Datasets Resilient Distributed Datasets (RDD) is a fundamental data structure of Spark. It is an immutable distributed collection of objects. Each dataset in RDD is divided into logical partitions, which may be computed on different nodes of …
Predicting Diabetes in Medical Datasets Using Machine ...
www.ijser.orgmassive volumes of data. Additionally, the advancements and innovations in the healthcare database management systems generate a huge number of medical ... datasets is generally low while using conventional classification techniques without applying additional preprocessing or data preparation techniques. One of the
Zero-Reference Deep Curve Estimation for Low-Light Image ...
openaccess.thecvf.comNet [20] was trained on data simulated on random Gamma correction; the LOL dataset [32] of paired low/normal light images was collected through altering the exposure time and ISO during image acquisition; the MIT-Adobe FiveK dataset [3] comprises 5,000 raw images, each of which has five retouched images produced by trained experts.
An updated analysis of the maternity services dataset ...
assets.publishing.service.gov.ukHealth of women before and during pregnancy: health behaviours, risk factors and inequalities An updated analysis of the maternity services dataset antenatal booking
A Guide to the ADaM Basic Data Structure for Dataset …
www.pharmasug.orgThe Clinical Data Interchange Standards Consortium (CDISC) Analysis Data Model (ADaM) Implementation Guide (ADaMIG), published in 2009, describes the many components of a very powerful and flexible analysis dataset structure called the Basic Data Structure (BDS), and provides some rules and examples. The BDS is unique among
Decrypting SDTM Trial Design Datasets for Complex Study ...
www.lexjansen.comDecrypting SDTM Trial Design Datasets for Complex Study Designs Charumathy Sreeraman, Ephicacy Lifescience Analytics, Bangalore, India ABSTRACT In recent years, increasing number of intervention studies are conducted using various trial designs to minimize cost, time and failure rates, thus enhancing the efficiency of clinical trial conduct.
Guidelines for the Diagnosis and Management of Vulval ...
www.rcog.org.ukCollege of Pathologists’ Standards and datasets for reporting cancers. Datasets for the histopathological reporting of vulval neoplasms (3rd edition).18 Wide radical local excision of the primary tumour with a minimum margin of 15 mm of disease-free tissue is often sufficient.
College of Policing analysis: Estimating demand on the ...
paas-s3-broker-prod-lon-6453d964-1d1a-432a-9260-5e0ba7d2fc51.s3.eu-west-2.amazonaws.comCollege of Policing has drawn on national and force datasets and local demand analysis to present the best available evidence on the demands facing the service, whether these have changed over ... Preventive work by local policing teams is unlikely to be captured by forces or national datasets, but can reduce crime and public initiated demand ...
Spark: Cluster Computing with Working Sets
www.usenix.orgabstraction called resilient distributed datasets (RDDs). An RDD is a read-only collection of objects partitioned across a set of machines that can be rebuilt if a partition is lost. Spark can outperform Hadoop by 10x in iterative machine learning jobs, and can be used to interactively query a 39 GB dataset with sub-second response time. 1 ...
Objects365: A Large-Scale, High-Quality Dataset for Object ...
openaccess.thecvf.comget objects. Also, to be compatible with the existing object detection benchmarks, the 365 categories include the cate-gories defined in PASCAL VOC [8] and COCO [24] bench-marks. 3.1.3 Non-Iconic Images As our Objects365 dataset focuses on object detection, we eliminate those images which are only suitable for image classification.
STANDARDS AND DATASETS FOR REPORTING CANCERS
www.rcpath.orgtextual guidance, educational information and reporting proformas. The datasets enable pathologists to grade and stage cancers in an accurate, consistent manner in compliance with international standards and provide prognostic information, thereby allowing clinicians to provide a
SPSS Statistics 19 Step by Step: Answers to Selected Exercises
wps.ablongman.comschools. Create a new variable in this dataset named , with values of 1 and 2. Create variable school labels, where 1 is the name of a school you like, and 2 is the name of a school you don’t like. Save your dataset with the name gradesme.sav. 3. Which of the following variable names will SPSS accept, and which will SPSS reject? For those that
STANDARDS AND DATASETS FOR REPORTING CANCERS
www.rcpath.orgtextual guidance, educational information and reporting proformas. The datasets enable pathologists to grade and stage cancers in an accurate, consistent manner in compliance with international standards and provide prognostic information, thereby allowing clinicians to provide a high standard
Preparing Analysis Data Model (ADaM) Data Sets and …
support.sas.com• BDS (Basic Data Structure) • OCCDS (Occurrence Data Structure) if using ADaMIG v1.1; or ADAE (Adverse Event Analysis Dataset) if using ADaMIG v1.0. Occasionally, there may be an …
Data Analysis using SPSS - University of North Dakota
med.und.edu– Variable View – Data View SPSS gives a lot of information, most which you don’t need – Ignore what you don’t need 1. Start SPSS from wherever you have it 2. Double click New Dataset at the top left 3. In the box on the right there are 10 people’s names, type them into the first column 4. You may notice a problem when you get to Peter.
Distributed Optimization and Statistical Learning via the ...
web.stanford.edu4.4 Decomposition 31 5 Constrained Convex Optimization 33 5.1 Convex Feasibility 34 ... or storage of these datasets as well as accompanying distributed solu- ... decomposition-coordination procedure, in which the solutions to small
14.4 2017 ASHRAE Handbook—Fundamentals
www.ashrae.orgsol datasets were used, including 10 years (2003 to 2012) of simu-lated monthly-average aerosol optical depth from the Monitoring Atmospheric Composition and Climate (MACC) reanalysis model (Eskes et al. 2015; Inness et al. 2013) and 13 years (2002 to 2014) of MERRA-2 reanalysis data (M olod et al. 2015). Results from the
Getting Started in Data Analysis using Stata
dss.princeton.eduFrom SPSS/SAS to Stata Example of a dataset in Excel From Excel to Stata (copy-and-paste, *.csv) Describe and summarize Rename Variable labels Adding value labels Creating new variables (generate) Creating new variables from other variables (generate) Recoding variables (recode) Recoding variables using egen
AI and Cybersecurity: Opportunities and Challenges
www.nitrd.govstipulations below, it may be distributed and copied with acknowledgment to OSTP. Requests to use any images must ... corpus including systems, models and datasets for education, research, and validation. ... secure and resilient techniques and best practices are vitally important.
Resilient Distributed Datasets: A Fault-Tolerant ... - USENIX
www.usenix.orgquire data reuse. For example, Pregel [22] is a system for iterative graph computations that keeps intermediate data in memory, while HaLoop [7] offers an iterative MapRe-duce interface. However, these frameworks only support specific computation patterns (e.g., looping a series of MapReduce steps), and perform data sharing implicitly for ...
Creating Graphs in SPSS - Open University
www.open.ac.ukSPSS codes different categories by assigning each one a number (which is displayed in the datasheet above). To see how this is done, revisit the Adding Variables tutorial. To see what the different coding options are in any dataset, you can CLICK on the View menu and select the Value Labels option or use the Value Labels shortcut
SPSS Tutorial - Multivariate Solutions
www.mvsolution.com• Identifying new product opportunities. ... ki value of variable X k for case j Problems: • Different measures = different weights • Correlation between variables (double ... • Open it in SPSS. The supermarkets.sav dataset. Run Principal Components Analysis and save scores
ANNEXURE A DEPARTMENT OF BASIC EDUCATION The …
www.dpsa.gov.zadatasets, data verification and analytical skills; Ability to keep up with a changing IT and education environment; Ability to work without supervision; Ability to meet targets and deadlines; Strong verbal and written communication skills; Be innovative; Willingness to work after hours and be prepared to travel; Valid Code 8 driver’s licence.
NHS oversight metrics for 2021/22
www.england.nhs.ukProportion of cancers diagnosed at stages 1 ... Ensuring datasets are complete and timely Proportions of patient activities with an ethnicity code ... * A response to the consultation to the UEC clinically-led review of standards will be published in due course.
Part II – Datasets and data attributes
www.ecb.europa.eucredit and credit risk data (ECB/2016/13) (OJ L 144, 1.6.2016, p. 44). 2 The AnaCredit conceptual data model is fully described in Part I, Section 6.1, “ Conceptual data model
Quick Guide for Using Mplus - Oxford University Press
global.oup.com*To ensure that all variables in your dataset are included in your list in Mplus and are in the correct order, we recommend copying the full list of variables from your general statistics program into your buffer so it can be pasted into Mplus syntax later. For example, using SPSS’s pulldowns, request frequencies on all variables in the file.
R and Data Mining: Examples and Case Studies
www.webpages.uidaho.edutask views for data mining. At last, some datasets used in this book are described. 1.1 Data Mining Data mining is the process to discover interesting knowledge from large amounts of data [Han and Kamber, 2000]. It is an interdisciplinary eld with contributions from many areas, such as
reaL INteraCtIVe NVIdIa Quadro M4000
images.nvidia.comand compute massive datasets. Plus, there’s a new display engine that drives up to four 4K resolution displays natively with DisplayPort 1.2 support for ultra-high resolutions like 4096 x 2160 @ 60 Hz with 30-bit color. Pair up two or more outputs to drive displays greater than 4K, and take advantage of NVIDIA Quadro
Title stata.com collapse — Make dataset of summary …
www.stata.comcommand varlist and varname in clist may contain time-series operators; see [U] 11.4.4 Time-series varlists. aweights, fweights, iweights, and pweights are allowed; see [U] 11.1.6 weight, and see Weights below. pweights may not be used with sd, semean, sebinomial, or sepoisson. iweights may not be used with semean,
Machine Learning with Adversaries: Byzantine Tolerant ...
proceedings.neurips.ccStochastic Gradient Descent (SGD). So far, distributed machine learning frame-works have largely ignored the possibility of failures, especially arbitrary (i.e., Byzantine) ones. Causes of failures include software bugs, network asynchrony, biases in local datasets, as well as attackers trying to compromise the entire system.
The Shared cM Project Version 4.0 (March 2020)
thegeneticgenealogist.comThe dataset contained 55,418 submissions for the 48 different relationships analyzed by the project. Following outlier removal, the minimum, average, and maximum values of the remaining data points were identified for each relationship using standard methodology. Standard deviation was calculated using Excel.
Introducing Stata—sample session
www.stata.comA dataset is far more than simply the data it contains. It is also information that makes the data usable by someone other than the original creator. Although describing the data tells us …
G006 Dataset for histopathological reporting of ...
www.rcpath.orgon the Royal College of Pathologists’ website for consultation from 10 January to 7 February 2019. Responses and authors’ comments are available to view on request. Dr Brian Rous Clinical Lead for Guideline Review (Cellular Pathology) The Royal College of Pathologists 6 Alie Street, London E1 8QT Tel: 020 7451 6700 Fax: 020 7451 6701
NTIRE 2017 Challenge on Single Image Super-Resolution ...
people.ee.ethz.chNTIRE 2017 Challenge on Single Image Super-Resolution: Dataset and Study Eirikur Agustsson CVL, ETH Zurich, Switzerland ... proposed DIV2K in relation with the achieved performance by the winners of the NTIRE 2017 SR Challenge and rep-resentative methods from recent years. We report results ... Section 3 reviews the ...
Deep Image Prior - CVF Open Access
openaccess.thecvf.comcommon paradigm of training a ConvNet on a large dataset of example images, we fit a generator network to a single degraded image. In this scheme, the network weights serve as a parametrization of the restored image. The weights are randomly initialized and fitted to maximize their likelihood given a specific degraded image and a task ...
Guidelines for the assessment of mismatch repair (MMR ...
mft.nhs.uk2014 of a revised dataset for reporting Colorectal Cancers by The Royal College of Pathologists (April 2014) and an NIHR Health Technology Assessment (HTA) on strategies for testing for Lynch Syndrome ... Additional cases aged between …
Pre-Trained Image Processing Transformer
openaccess.thecvf.comto be excavated using large-scale dataset, we should pre-pair a great number of images with considerable diversity for training the IPT model. To this end, we select the Im-ageNet benchmark which contains various high-resolution with 1,000 categories. For each image in the ImageNet, we generate multiple corrupted counterparts using several
Fannie Mae and Freddie Mac Uniform Mortgage Data Program
sf.freddiemac.comFeb 15, 2022 · This document relates to the Uniform Mortgage Data Program®, an effort undertaken jointly by Fannie Mae and Freddie Mac at the direction of the Federal Housing Finance Agency.. Background This Impact Memo announces the following changes to the Uniform Closing Dataset Specification (UCD) v1.5:
Logistic Regression on SPSS - The Center for Applied ...
case.truman.eduThe dataset is available at U:\_MT Student File Area\hjkim\STAT380\SPSS tutorial\hypertension.sav. Note that the hypertension variable binary variable. 0 means no hypertension and 1 means hypertension. Predictor variables are age, gender and body mass index. Age and bmi is quantitative and gender is categorical variable.
Dataset for Histopathological Reporting of …
www.rcpath.orgtumour’ and ‘neuroendocrine carcinoma’ to stratify the old term ‘carcinoid’ into three different groups of NENs: well-differentiated endocrine tumours with benign or uncertain behaviour; well-differentiated endocrine carcinomas of low-grade malignancy; and poorly differentiated endocrine carcinomas of high-grade malignancy.
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