View, California. Before Google, Wang was Director of HP Labs China in Beijing, China, where she was also named an HP Distinguished Technologist. Wang also held a senior research role as the manager of the Unified Data Analytics Department at IBM’s Thomas J. Watson Research Center in Hawthorne, New York. Wang has received several.
In this paper, we present a universal, probabilistic taxonomy that is more comprehensive than any existing ones. It contains 2.7 million concepts harnessed automatically from a corpus of 1.68 billion web pages. Unlike traditional taxonomies that treat knowledge as black and white, it uses probabilities to model inconsistent, ambiguous and uncertain information it contains. We present details.
Research Papers; Industrial Papers; Demo Papers; Tutorial Papers; Keynote 1: Jignesh Patel (University of Wisconsin) Keynote 2: Laura Haas (IBM) SIGMOD Panel; Organization: SIGMOD Program Committee. Chairs Susan B. Davidson (University of Pennsylvania, USA) Zack Ives (University of Pennsylvania, USA) Group Leaders Alin Deutsch (University of California, San Diego, USA) Yanlei Diao (University.
I am a research scientist at Google Brain. I. INFORMS data mining best student paper finalist, 2014. CMU research fellowship, 2013-present. ICME 2011 best paper award nomination, 2011. Selected Industrial Internship. 2017.5 -- 2017.8, Research Intern, Google Brain. Mentor: Quoc Le and Kai Chen. 2016.5 -- 2016.8, Research Intern, Google Brain and Web Answers. Mentor: Quoc Le and Hongrae Lee.
Large ontologies and taxonomies are automatically harvested from web-scale data. These taxonomies tend to be huge, noisy, and contains little context. As a result, cleansing and enriching those largescale taxonomies becomes a great challenge. A natural way to enrich a taxonomy is to map the taxonomy to existing datasets that contain rich information. In this paper, we study the problem of.
I have 15 research papers but i dot get h-index and author index how to upload my papers in Google scholar. May 2, 2015 at 1:11 am Vijaya Ramnath says: Hi Stacy, I uploaded some articles in google scholar manually which contains my previous published papers. But my citation points are not increased. May 26, 2015 at 1:28 am Reggie says: I wonder if it is possible use google scholar to discover.
Lior Appelbaum The Faculty of Life Sciences and The Multidisciplinary Brain Research Center, Bar Ilan University Verified email at biu.ac.il. Lynette Foo F.Hoffman-La Roche Verified email at roche.com. Emmanuel Mignot Stanford University Professor Verified email at stanford.edu. Damien Colas Department of Biology, Stanford University Verified email at stanford.edu. Kristina D. Micheva.
Located in Washington, D.C., The Catholic University of America is the national university of the Catholic Church, founded by the U.S. bishops and the pope, faithful to the teachings of Jesus Christ as handed on by the Church. Dedicated to advancing the dialogue between faith and reason, Catholic University seeks to discover and impart the truth through excellence in teaching and research.
Haixun Wang Zhirui Hu Head and modifier detection is an important problem for applications that handle short texts such as search queries, ads keywords, titles, captions, etc.
In this paper, we explore a more general type of similarity. Under the pCluster model we proposed, two objects are similar if they exhibit a coherent pattern on a subset of dimensions. The new similarity concept models a wide range of applications. For instance, in DNA microarray analysis, the expression levels of two genes may rise and fall synchronously in response to a set of environmental.
Google.org issued an open call to organizations around the world to submit their ideas for how they could use AI to help address societal challenges. Meet the 20 organizations we selected to support. Introduction to Federated Learning. Introduction to Federated Learning Learn how to build better products with on-device data and privacy by default in a new online comic from Google AI. People.
Artificial intelligence (AI) aims to mimic human cognitive functions. It is bringing a paradigm shift to healthcare, powered by increasing availability of healthcare data and rapid progress of analytics techniques. We survey the current status of AI applications in healthcare and discuss its future. AI can be applied to various types of healthcare data (structured and unstructured).