PPT-1 Planning 2 Some material adapted from slides by Tim

FininJean Claude Latombe Lise Getoor and Marie desJardins 2 Todays Class Partialorder planning Graphbased planning Additional planning methods Hierarchical Task Networks. Department of Computing and Information Sciences, . KSU. KSOL course pages: . http://bit.ly/hGvXlH. / . http://bit.ly/eVizrE. . Public mirror web site: . http://www.kddresearch.org/Courses/CIS636. Instructor home page: . Structure. How will search and querying on these three types of data differ?. A generic. web page. containing text. A movie . review. [English]. [SQL]. [XML]. Semi-Structured. An employee . record. Slides adapted from Rao (ASU) & Franklin (Berkeley). Undirected GraphsGRAPH.Set of OBJECTS with pairwise CONNECTIONS.Interesting and broadly useful abstraction.Why study graph algorithms?Challenging branch of computer science and discrete math.Hundreds Department of Computing and Information Sciences, . KSU. KSOL course pages: . http://bit.ly/hGvXlH. / . http://bit.ly/eVizrE. . Public mirror web site: . http://www.kddresearch.org/Courses/CIS636. Instructor home page: . INSERT . THE . TITLE. OF. . YOUR PRESENTATION HERE . FREE PPT TEMPLATES. Click to add title. Standard (4:3. ). This PowerPoint Template has clean and neutral design that can be adapted to any content and meets various market segments. With this many slides you are able to make a complete PowerPoint Presentation that best suit your needs. . . for. . Bath & North East Somerset Council. 3 June 2015. Councillor Training – Planning. Mike Muston – Muston Planning. muston planning. Why is probity significant?. the 1947 Act vested the right to develop land in the State and created local planning authorities. Chapter 11. McGraw-Hill/Irwin. Copyright © 2012 by The McGraw-Hill Companies, Inc. All rights reserved.. Chapter 11: Learning Objectives. You should be able to:. Explain what aggregate planning is and how it is useful. Languages . to Information. Dan Jurafsky. Stanford University. Recommender Systems & Collaborative Filtering. Slides adapted from Jure . Leskovec. Recommender Systems. Customer X. Buys CD of Mozart. Languages . to Information. Dan Jurafsky. Stanford University. Recommender Systems & Collaborative Filtering. Slides adapted from Jure . Leskovec. Recommender Systems. Customer X. Buys CD of Mozart. Structure. How will search and querying on these three types of data differ?. A generic. web page. containing text. A movie . review. [English]. [SQL]. [XML]. Semi-Structured. An employee . record. Even a little structure goes a long way... C Strings. A . string. in C is just an array of characters.. . char string[] = "abc";. How do you tell how long a string is?. Last character is followed by a 0 byte (null terminator). . . int strlen(char s[]). C Strings. A . string. in C is just an array of characters.. . char string[] = "abc";. How do you tell how long a string is?. Last character is followed by a 0 byte (null terminator). . . int strlen(char s[]). Languages . to Information. Dan Jurafsky. Stanford University. Recommender Systems & Collaborative Filtering. Slides adapted from Jure . Leskovec. Recommender Systems. Customer X. Buys CD of Mozart. KSU. KSOL course pages: . http://bit.ly/hGvXlH. / . http://bit.ly/eVizrE. . Public mirror web site: . http://www.kddresearch.org/Courses/CIS636. Instructor home page: . http://www.cis.ksu.edu/~bhsu.