PAC Learning 8/5/2005. purpose Effort to understand negative selection algorithm from totally different aspects –Statistics –Machine learning What is.
Scheduling An Engineering Approach to Computer Networking.
©2012 – Kyungsu Park – IEEE CASE – Seoul – August 22, 2012 – 1 Performance Bounds for Hybrid Flow Lines: Fundamental Behavior, Practical Features and Application.
Multicost (or QoS) routing For example: More generally, Minimize f(V)=f(V 1,…,V k ) over all paths.
Feature Selection for Supervised and Unsupervised Learning Mário A. T. Figueiredo Institute of Telecommunications, and Instituto Superior Técnico Technical.
Integration testing(revisited)
Fast data collection in tree based wireless sensor networks.bak
Modelling D2D Communications in Cellular Access Networks via Coupled Processors
Machine Learning CSE 681 CH2 - Supervised Learning Computational learning theory.
Parallel Algorithm Design. Look at Ian Foster’s Methodology (PCAM) Partition – Decompose the problem – Identify the concurrent tasks – Often the most.
Multimedia Streaming Gateway With Jitter Detection Siu-Ping Chan, Chi-Wah Kok Albert K. Wong IEEE TRANSACTIONS ON MULTIMEDIA, June 2005.
DigiComm II Scheduling and queue management. DigiComm II Traditional queuing behaviour in routers Data transfer: datagrams: individual packets no recognition.