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ECML
2006
Springer
15 years 5 months ago
A Selective Sampling Strategy for Label Ranking
Abstract. We propose a novel active learning strategy based on the compression framework of [9] for label ranking functions which, given an input instance, predict a total order ov...
Massih-Reza Amini, Nicolas Usunier, Françoi...
78
Voted
JISE
2007
71views more  JISE 2007»
15 years 2 months ago
Effective Learning Model and Activate Learning Algorithm for Improving Learning Efficiency
Shih-Jung Peng, Pi-Feng Liang, Deng-Jyi Chen
125
Voted
ICML
2003
IEEE
16 years 3 months ago
Online Choice of Active Learning Algorithms
This paper is concerned with the question of how to online combine an ensemble of active learners so as to expedite the learning progress during a pool-based active learning sessi...
Yoram Baram, Ran El-Yaniv, Kobi Luz
124
Voted
CVPR
2010
IEEE
15 years 10 months ago
Beyond Active Noun Tagging: Modeling Contextual Interactions for Multi-Class Active Learning
We present an active learning framework to simultaneously learn appearance and contextual models for scene understanding tasks (multi-class classification). Existing multi-class a...
Behjat Siddiquie, Abhinav Gupta
118
Voted
ICCV
2009
IEEE
16 years 7 months ago
Joint learning of visual attributes, object classes and visual saliency
We present a method to learn visual attributes (eg.“red”, “metal”, “spotted”) and object classes (eg. “car”, “dress”, “umbrella”) together. We assume imag...
Gang Wang, David Forsyth