PPT-Who transforms whom? Understanding our new roles in ECCL's relational model of service

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 . Patricia A. Alexander. Forward a claim about the association between relational reasoning with metacognition theory and research. Consider the nature of percepts and concepts in human learning and performance. The Relationship in Professional Education. Laura Steckley. Unity Through Relationships . 10-14 November, 2014. Dublin . YOUR TOPIC GOES HERE. Conference Aim. “… t. o . commence a dialogue in pursuit of synergies and unified . 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. Developing Relational Thinking in the Primary Grades. Relational Thinking. Students who can express a number in terms of other numbers and operations on those numbers hold a . relational understanding of the number. 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 . Definition. The . z. -transform of a discrete function . p. (. i. ), . i. = 0, 1, 2, … is defined as. . G. p. (. z. ) = . Σ. {. i. . = 0 to . . }. p. (. i. ). z. i. Examples:. X = . Binomial(. An . Overview of the . ReGround. Project. Laura . Antanas. 1. , . Ozan. . Arkan. . Can. 2. , . Jesse . Davis. 1. , . Luc De . Raedt. 1. , . Amy . Loutfi. 3. , Andreas Persson. 3. , . Alessandro . Saffiotti. The . Educator. . . Portfolio. S. Barry Issenberg, MD. Gordon Center for Research in Medical Education. APT Candidate Evaluation. APT Committee Vote. Areas of Excellence. Research. Teaching. Clinical Service. Today’s Lecture. The Relational Model & Relational Algebra. Relational . Algebra Pt. II . [Optional: may skip]. 2. Lecture 16. 1. The Relational Model & Relational Algebra. 3. Lecture 16 > Section 1. Author: Maximilian Nickel. Speaker: . Xinge. Wen. INTRODUCTION . –. Multi relational Data. Relational data is everywhere in our life:. WEB. Social networks. Bioinformatics. INTRODUCTION . –. Why Tensor . Oliver Schulte. Zhensong. Qian. Arthur. Kirkpatrick. Xiaoqian. . Yin. Yan. Sun. Relational Dependency Networks. Neville, J. & Jensen, D. (2007), 'Relational Dependency Networks', . Journal of Machine Learning Research .