<--- Back to Details
First PageDocument Content
Change detection / Receiver operating characteristic / Resampling / Type I and type II errors / Normal distribution / Bootstrapping / Statistics / Statistical inference / Detection theory
Date: 2008-05-23 12:10:52
Change detection
Receiver operating characteristic
Resampling
Type I and type II errors
Normal distribution
Bootstrapping
Statistics
Statistical inference
Detection theory

Add to Reading List

Source URL: faculty.washington.edu

Download Document from Source Website

File Size: 2,35 MB

Share Document on Facebook

Similar Documents

Artificial intelligence / Ensemble learning / Learning / Cascading classifiers / Boosting / AdaBoost / Machine learning / Type I and type II errors / Supervised learning / Intelligent transportation system / Artificial neural network / ViolaJones object detection framework

IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, VOL. 11, NO. 2, JUNEA General Active-Learning Framework for On-Road Vehicle Recognition and Tracking

DocID: 1r1Ms - View Document

Computing / Knowledge / Information / Error / Data quality / Data / Error detection and correction / Data cleansing / Statistics / Type I and type II errors / Anomaly detection / Code

arXiv:1602.07807v2 [cs.DB] 11 AprData Cleaning for XML Electronic Dictionaries via Statistical Anomaly Detection Michael Bloodgood

DocID: 1qSKG - View Document

Statistics / Feature detection / Interest point detection / Sensitivity and specificity / Type I and type II errors

Diagnosing Error in Object Detectors Derek Hoiem, Yodsawalai Chodpathumwan, and Qieyun Dai ? Department of Computer Science University of Illinois at Urbana-Champaign Abstract. This paper shows how to analyze the influen

DocID: 1qtMV - View Document

Linguistics / Human communication / Phonetics / Humancomputer interaction / Computational linguistics / Orthography / Phonology / Computer accessibility / Speech recognition / Error / Word error rate / Type I and type II errors

6th European Conference on Speech Communication and Technology (EUROSPEECH’99) Budapest, Hungary, September 5-9, 1999 ISCA Archive

DocID: 1qeQr - View Document

Hypothesis testing / Statistics / Hacking / Statistical inference / Computing / Hacker culture / P-value / Type I and type II errors / False positive rate / Hacker

False-Positives, p-Hacking, Statistical Power, and Evidential Value Leif D. Nelson University of California, Berkeley Haas School of Business Summer Institute

DocID: 1qafR - View Document