PPT-Hierarchical Service Function Chaining

hSFC draftdolsonsfchierarchical06 David Dolson ddolsonsandvinecom Shunsuke Homma hommashunsuke labnttcojp Diego R Lopez diegorlopeztelefonicacom Mohamed . George . Michelogiannakis. , Nan Jiang,. Daniel Becker, William J. Dally. Stanford University. MICRO 44, 3-7 December 2011, Porto . Allegre. , Brazil. Introduction. Performance sensitive to allocator performance. Rongcheng Lin. Computer Science Department. Contents. Motivation, Definition & Problem. Review of SVM. Hierarchical Classification. Path-based Approaches. Regularization-based Approaches. Motivation. Back - Chaining : how the back - chaining procedure will answer questions from a given knowledge - base. Consider the back - chaining procedure : To establish a sentence Q: 1. Try to locate Q i Rongcheng Lin. Computer Science Department. Contents. Motivation, Definition & Problem. Review of SVM. Hierarchical Classification. Path-based Approaches. Regularization-based Approaches. Motivation. Preparation. 08. th. December, 2015 . QIPA 2015, HRI, Allahabad,. India. Chitra . Shukla. JSPS . Postdoctoral Research . Fellow . Graduate . School of Information Science Nagoya University, JAPAN. Information Builders, Inc.. Inside Look at Chaining. HTML Composer . 1. Hi my name is Barry Solomon and I have been with Information Builders for four years. . Some of you may know me as a voice on the phone. When you have a problem with WebFOCUS you sometimes get me to work on your issue when opening a case with tech support. . Oliver van . Kaick. 1,4 . . Kai . Xu. 2. . Hao. Zhang. 1. . Yanzhen. Wang. 2. . Shuyang. Sun. 1. Ariel Shamir. 3. Daniel Cohen-Or. 4. 4. Tel Aviv University. 1. Simon . Fraser University. Status draft-. haeffner. -. sfc. -use-case-mobility. IETF 89 London. , . 3 . March 2014. Service Function Chaining WG. Walter Haeffner - . walter.haeffner@vodafone.com. , Jeff Napper - . jenapper@cisco.com. Class 9/15 - Video on Watson playing Jeopardy . HW 2 (Logic). coming out later this week. No office hours today!. Last Time: Propositional Inference. Logical Agents. Use information about how states change to choose actions. George . Michelogiannakis. , Nan Jiang,. Daniel Becker, William J. Dally. Stanford University. MICRO 44, 3-7 December 2011, Porto . Allegre. , Brazil. Introduction. Performance sensitive to allocator performance. Can incorporate Neural, Genetic and Fuzzy Components. Many expert systems are based on rules. Expert Systems can perform many functions. Rules can be fuzzy, quantum, modal, neural, Bayesian, etc.. Special inference methods may be used. Classification of Transposable Elements . using a Machine . Learning Approach. Introduction. Transposable Elements (TEs) or jumping genes . are DNA . sequences that . have an intrinsic . capability to move within a host genome from one genomic location . Produces a set of . nested clusters . organized as a hierarchical tree. Can be visualized as a . dendrogram. A tree-like diagram that records the sequences of merges or splits. Strengths of Hierarchical Clustering. Connecting Networks. Chapter 1. 1.0 Introduction. 1.1 . Hierarchical Network Design  Overview. 1.2 Cisco Enterprise Architecture. 1.3 Evolving Network Architectures. 1.4 Summary. Chapter 1: Objectives.