PPT-Instance Based Social Network Representation

Yoav Artzi Amit Levy CSE 510 HCI Spring 2010 Project final presentation Instance Based Network Representation Community detection Representing instances detection Graph representation This may or may not really happened. Introduction. Domain specific knowledg. e is needed to solve some problems.. Knowledge base – representation.. Inference techniques. Use to prove facts.. Use to answer queries. Knowledge Representation Schemes. Outline. Motivation. Multiple Instance Learning (MIL). Diverse Density. Single Point Concept. Disjunctive Point Concept. SVM Algorithms for MIL. Single Instance Learner (SIL). Sparse MIL. mi-SVM. MI-SVM. Daniel Stockemer. Inclusion and Exclusion Conference, Ottawa, Canada. April 26, 2012. Research Question. Research Topic: An evaluation of the inclusiveness and exclusiveness in terms of representation of various European national parliamentary assemblies that operate under various electoral system types. Semantic networks - history. Network notations are almost as old as logic. Porphyry (3rd century AD) – tree-based hierarchies to describe Aristotle’s categories. Frege (1879) - concept writing, a tree notation for the first complete version of first-order logic . 1:. Database . and Instance . Overview. Defining . a Database . and . an Instance. Introduce Microsoft’s and Oracle’s Implementations of a Database and an Instance. Understand Client Interaction . Reza Yousefzadeh. 12/9/2014. Outline. What is cloud Computing?. Cloud Computing: . XaaS. Amazon Web Services. Amazon EC2. Issues Facing Developers. 70% of Web Development Effort is “Muck”:. Data Centers. ICS 6D. Sandy . Irani. Number representation. Our number system represents numbers in base 10 (also called decimal notation). Each place represents a power of 10:. 3045 = . 3. ·. 10. 3. + . 0. ·. 1. Nearest Neighbor Learning. Classify based on local similarity. Ranges from simple . nearest neighbor . to case-based and analogical reasoning. Use local information near the current query instance to decide the classification of that instance. in . Computer . Systems. Chapter 2. 2. Chapter 2 Objectives. Understand the fundamentals of numerical data representation and manipulation in digital computers.. Master the skill of converting between various radix systems.. Outline. The importance of instance selection. Rough set theory. Fuzzy-rough sets. Fuzzy-rough instance selection. Experimentation. Conclusion. Knowledge discovery. The problem of too much data. Requires storage. Spivak. /Devi. Representation and its meanings. a) to re-present, as in the work of imagination that re-presents reality in literature; . b. ) to represent, as in to stand in for, to speak for, to speak as, in the realm of politics. . The Treachery of Images. (1928-9). Ren. é. Magritte: . Two Mysteries. (1966). Representation and reality. Re-presentations: we think that the model (‘reality’) precedes, pre-exists the representation . 1protection investigationYongqun He1Zuoshuang Xiang1 Thomas Todd1 Melanie Courtot2 Ryan Brinkman2Jie Zheng3ChristianJ StoeckertJr3James Malone4Philippe Rocca-Serra4Susanna-Assunta Sansone4JenniferFost Wei Zhang, . Hongzhi Li. , Chong-Wah Ngo, Shih-Fu Chang. City Univeristy of Hong Kong. Columbia University. 1. Visual Instance Mining. visual . instance. : a specific visual entity. object (car, apple, flower).