CS6220: Data Mining Techniques
CS6220: DATA MINING TECHNIQUES Instructor: Yizhou Sun yzsun@ccs.neu.edu March 18, 2013 Chapter 8&9: Classification: Part 4 Chapter 8&9. Classification: Part 4 • Frequent Pattern-based Classification • Ensemble Methods • Other Topics • Summary 2 Associative Classification • Associative classification: Major steps • Mine data to find strong associations between frequent patterns (conjunctions of att
LSDiff
LSDiff first extracts structural facts from each of the two program versions, then use set differencing to construct a list of changes, or deltas. Structural facts include subtyping facts about the class hierarchy as well as declarations of field and method class members. LSDiff also captures calls and field accesses relationships betwe a method and its target method or field. LSDiff infer rules u
Linux Memory Mapped System Call Performance
Linux Memory Mapped System Call Performance Kousha Najafi Professor Eddie Kohler Steve VanDeBogart I. Introduction Mmap and read are both fundamentally important system calls. Both calls are used to access bytes on disk. Read uses the standard file descriptor access to files while mmap transparently maps files to locations in the process’s memory. Most operating systems also use mmap every time a
http://web.cs.ucla.edu/~joo/joo_iccv15_face_election.pdf
Automated Facial Trait Judgment and Election Outcome Prediction: Social Dimensions of Face Jungseock Joo1,3 , Francis F. Steen2 , and Song-Chun Zhu1 1 Departments of Computer Science and Statistics, UCLA 2 Department of Communication Studies, UCLA 3 Facebook jungseock@gmail.com Abstract The human face is a primary medium of human com- munication and a prominent source of information used to infer
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http://web.cs.ucla.edu/~kaoru/theoretical-impediments.pdf
(PDF) Artificial fishes: autonomous locomotion, perception, behavior, and learning in a simulated physical world
Chenfanfu Jiang
