<--- Back to Details
First PageDocument Content
Search algorithms / Statistical classification / Dimension reduction / Approximation algorithms / Submodular set function / Support vector machine / K-nearest neighbor algorithm / Greedy algorithm / Margin classifier / Mathematics / Statistics / Machine learning
Date: 2012-10-23 14:04:06
Search algorithms
Statistical classification
Dimension reduction
Approximation algorithms
Submodular set function
Support vector machine
K-nearest neighbor algorithm
Greedy algorithm
Margin classifier
Mathematics
Statistics
Machine learning

Coverage Optimized Active Learning for k-NN Classifiers

Add to Reading List

Source URL: www.merl.com

Download Document from Source Website

File Size: 347,36 KB

Share Document on Facebook

Similar Documents

Statistical classification / Learning / Data / Cognition / Support vector machine / Classifier / Margin classifier / K-nearest neighbors algorithm / Supervised learning / Naive Bayes classifier / Machine learning

Supervised Pattern Classification Using Optimum-Path Forest Jo˜ao Paulo Papa and Alexandre Xavier Falc˜ao University of Campinas Institute of Computing Campinas, S˜ao Paulo - Brazil {papa.joaopaulo,alexandre.falcao}@g

DocID: 1raFU - View Document

Statistical classification / Machine learning / Artificial intelligence / Learning / Statistics / Co-training / Semi-supervised learning / Support vector machine / K-nearest neighbors algorithm / Naive Bayes classifier / Multiclass classification / Margin classifier

A Visual Approach for Interactive Co-Training Qi Han Weimeng Zhu Florian Heimerl

DocID: 1qSg9 - View Document

Statistical classification / Support vector machine / Linear classifier / Kernel method / Polynomial kernel / Margin classifier / Perceptron / Linear separability / Decision boundary / Kernel / Vector space / Positive-definite kernel

A User’s Guide to Support Vector Machines Asa Ben-Hur Department of Computer Science Colorado State University Jason Weston

DocID: 1pItv - View Document

Statistical classification / Machine learning / Regression analysis / Econometrics / Support vector machine / Multinomial logistic regression / Supervised learning / Margin classifier / Classifier / Prediction / Linear discriminant analysis / Linear regression

Classification of Passes in Football Matches using Spatiotemporal Data Michael Horton Joachim Gudmundsson

DocID: 1pBln - View Document

Statistical classification / Machine learning / Artificial neural networks / Support vector machine / Word embedding / Feature learning / Multi-label classification / Word2vec / Margin classifier / Language model

A Model of Zero-Shot Learning of Spoken Language Understanding Majid Yazdani Computer Science Department University of Geneva

DocID: 1ov1l - View Document