PPT-A Three-way Model for Collective Learning on Multi-Relational Data

Author : trish-goza | Published Date : 2018-03-17

Author Maximilian Nickel Speaker Xinge Wen INTRODUCTION Multi relational Data Relational data is everywhere in our life WEB Social networks Bioinformatics INTRODUCTION

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A Three-way Model for Collective Learning on Multi-Relational Data: Transcript

Author Maximilian Nickel Speaker Xinge Wen INTRODUCTION Multi relational Data Relational data is everywhere in our life WEB Social networks Bioinformatics INTRODUCTION Why Tensor . Sarah Riahi and Oliver Schulte. School . of Computing Science. Simon Fraser University. Vancouver, Canada. With tools that you probably have around the . house. lab.. A simple method for multi-relational outlier detection. Nothing is so practical as a good theory. Kurt Lewin, 1945. The relational model. Overcame shortcomings of earlier database models. Has a strong theoretical base. Codd was the major developer. Problems with other models. Daniel Lowd. University of Oregon. April 20, 2015. Caveats. The purpose of this talk is to inspire meaningful discussion.. I may be completely wrong.. My background:. Markov logic networks, probabilistic graphical models. Joint Work with . Sriraam Natarajan, . Kristian. . Kersting. , Jude . Shavlik. Bayesian Networks. Burglary. Earthquake. Alarm. JohnCalls. e. b. a. 0. 0. 0.1. 0. 1. 0.8. 1. 0. 0.6. 1. 1. 0.9. e. 0.01. Author: Maximilian Nickel. Speaker: . Xinge. Wen. INTRODUCTION . –. Multi relational Data. Relational data is everywhere in our life:. WEB. Social networks. Bioinformatics. INTRODUCTION . –. Why Tensor . Presented By:. . Pardeep MT15042. . Anurag Goel MT15006. Outline. Introduction . to XML. XML Documents. XML Databases. XML . M. odel v/s . R. elational . household. . bargaining. for . developing. countries. With. Roberta . Ziparo. , AMSE. Motivation. Issue: spouse interaction within households . poor . countries. Why does it matter? Why do we need a separate approach? . Analysis. . . Kai-Wei Chang. Joint work with. . Scott Wen-tau . Yih, Chris Meek. Microsoft Research. Natural Language Understanding. Build an intelligent system that can interact with human using natural language. Connie Herbin, Kaye Robinson and Alfredo Ortiz Aragón, DSE . March 31, 2017. Purpose of our inquiry. Our inquiry. In Fall 2016, a research team. *. from the UIW PhD course “Qualitative Research Design (INDR 8357)” engaged the (ECCL) in an effort to design a research process that would help the ECCL . Analysis. . . Kai-Wei Chang. Joint work with. . Scott Wen-tau . Yih, Chris Meek. Microsoft Research. Natural Language Understanding. Build an intelligent system that can interact with human using natural language. Sir Arthur Conan Doyle. Programmer productivity. In the 1970s, Codd laid out a plan for improving programmer productivity and accelerating systems development by improving the management and processing of data. Ralf Möller. Institute of Information Systems. DFKI. Nikita, . Sakhanenko. , David Galas. . Markov Logic Networks in the Analysis of Genetic Data . Journal of Computational Biology, Volume 17, Number 11, pp. 1491–1508, . Section 1. Tutorial on Learning Bayesian Networks for Relational Data. Overview. What are relational data?. Different notations/representations.. Logic. Tables. Graph. RDF. Matrix/Tensor. Common core: . Denis Krompaß. 1. , Maximilian Nickel. 2. and Volker Tresp. 1,3. 1. . Department of Computer Science. Ludwig Maximilian University, . 2. MIT, Cambridge and . Istituto. . Italiano. . di. . Tecnologia.

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