PPT-Feature Selection in Classification

and R Packages Houtao Deng houtaodengintuitcom 1 Data Mining with R 12132011 Agenda Concept of feature selection Feature selection methods The R packages for feature selection 12132011. kiritchenkonrccnrcgcca Institute for Information Technology National Research Council Canada Ottawa Canada Mikhail Jiline mzhilinepiphancom Epiphan Systems Inc Ottawa Canada Editor Saeys et al Abstract Sponsored search is a new application domain for Sedative hypnotics depress or slow down the bodys functions These drugs are commonly referred to as tranquilizers sleeping pills or sedatives They were originally developed to treat medical conditions such as epileptic seizures as well as to treat a . Schütze. and Christina . Lioma. Lecture . 14: Vector Space Classification. 1. Overview. Recap . . Feature selection. Intro vector space classification . . Rocchio. . kNN. Linear classifiers. Niranjan Balasubramanian. University of Massachusetts Amherst. Joint work with:. Giridhar. . Kumaran. and . Vitor. . Carvalho. Microsoft Corporation. James Allan. University of Massachusetts Amherst. M . Zubair. . Rafique. Muhammad . Khurram. Khan. Khaled. . Alghathbar. Muddassar. . Farooq. . The 8th FTRA International Conference on . Yang Mu, Wei Ding. University of Massachusetts . Boston. 2013 IEEE International Conference on Data . Mining. , Dallas, . Texas, Dec. 7. PhD Forum. Classification. Distance learning. Feature selection. Hang Xiao. Background. Feature. a . feature. is an individual . measurable heuristic property of a phenomenon being observed. In character recognition: . horizontal and vertical . profiles, . number of internal holes, stroke . Principle Component Analysis. Why Dimensionality Reduction?. It becomes more difficult to extract meaningful conclusions from a data set as data dimensionality increases--------D. L. . Donoho. Curse of dimensionality. Augmentation and . Classification. Kiran. . Shakya. Tao . Xie. North Carolina State University . Yu Lei. University of Texas at Arlington. Nuo. Li. ABB Robotics. Raghu. . Kacker. Richard Kuhn. Xing . Wang. ,. . Peihong Guo, Tian Lan, Guoyu Fu. CSCE 666. Term Project Presentation. Dec 11th, . 2013. Background. Motivation: Accent Recognition(AR) helps improve Speech Recognition system and Speaker Identification system . From ESA Advanced Training course on Land Remote Sensing by . Mário. . Caetano. Most common problems in image classification and how to solve. . them. Most important . advances in satellite image. Feature Engineering Geoff Hulten Overview Feature engineering overview Common approaches to featurizing with text Feature selection Iterating and improving (and dealing with mistakes) Goals of Feature Engineering Please sit down if you:. Are taller than 5’9”. Have blonde Hair . Have brown Eyes. Are left-Handed. Why Classify?. To study the diversity of life, biologists use a . classification . system to name organisms and group them in a logical manner. W. Art Chaovalitwongse. Rutgers University. *Joint work with Y.J. Fan (Rutgers) and R.C. Sachdeo (Jersey Shore University Hospital). This work is supported in part by research grants from . NSF CAREER Grant CCF .