PPT-Learnability of DNF with Representation-Specific Queries

Liu Yang Joint work with Avrim Blum amp Jaime Carbonell Carnegie Mellon University 1 Liu Yang 2012 Learning DNF formulas DNF formulas n of vars polysized DNF . (3)a.John piled books (on the table).Figure-frameb.John piled the table with books.(4)a.John stuffed feathers into the pillow.b.John stuffed the pillow (with feathers).Ground-frameFor example, the ver joint work with Dan . Suciu. (University of Washington). Alexandra Meliou. Hypothetical (What-if. ). Queries. Brokerage company. DB. Key Performance Indicators (KPI). Example from [. Balmin. et al. VLDB’00]:. (2). . Gabriel Spitz. 1. Lecture # . 14. Effective Representation. Are choices of labels, icons, controls, instruction, etc. at the interface that capitalize on:. What the user already know. What is meaningful to the user. Gu Xu. Microsoft Research Asia. Mismatching Problem. Mismatching is Fundamental Problem in Search. Examples:. NY ↔ New York, game cheats ↔ game . cheatcodes. Search Engine Challenges. Head or frequent queries. Data Uncertainty: . Modeling and Querying. Mohamed F. Mokbel. Department of Computer Science and Engineering. University of Minnesota. www.cs.umn.edu/~mokbel. mokbel@cs.umn.edu. 2. Talk Outline. Introduction to Uncertain Data. Strength of Weak Learnability E. SCHAPIRE (rs@theory.lcs.mit.edu) Laboratory for Computer Science, 545 Technology Square, Cambridge, MA 02139 This paper addresses the problem of improving the accura vine rst second Representation Heads Modiers Representation Heads Modiers Representation Heads Modiers Representation Heads Modiers First-OrderFeatureCalculation ArcLengthByPart-of-Speech ArcLeng 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.. Shreya. Current Query Methods. Data Scans: Loads file into memory and scans. Column oriented stores. Low memory, high latency. Index based scan: the file is preprocessed and stored in memory with indices.. 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.. Data Uncertainty: . Modeling and Querying. Mohamed F. Mokbel. Department of Computer Science and Engineering. University of Minnesota. www.cs.umn.edu/~mokbel. mokbel@cs.umn.edu. 2. Talk Outline. Introduction to Uncertain Data. Visual Queries Dr. Neil H. Schwartz Visualization: Defined Visualization refer to the 2D and 3D static and animated visual displays that depict conditions, situations, processes, places or events as they appear in maps, diagrams, graphs, pictures, schematics, data-based spatial or linear renditions, and immersive virtual environments How to Build Student GroupsStudent Success CollaborativeAdvanced Search User Guide2017 EAB All Rights Reservedeabcom2Student Success CollaborativeHow to Build Commonly Used Queries to Identify Specif Pankaj. . Vanwari. . Under guidance of . Dr. S. . Sudarshan. . Overview of Presentation. Introduction to Entity Queries. Keyword search on structured data. Querying over unstructured data. Entity queries using ontology based extraction.