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» Active Learning for Networked Data
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107
Voted
AAAI
2008
15 years 5 months ago
Active Learning for Pipeline Models
For many machine learning solutions to complex applications, there are significant performance advantages to decomposing the overall task into several simpler sequential stages, c...
Dan Roth, Kevin Small
91
Voted
NN
2007
Springer
15 years 2 months ago
A learning algorithm for adaptive canonical correlation analysis of several data sets
Javier Vía, Ignacio Santamaría, Jes&...
103
Voted
ECAI
2008
Springer
15 years 4 months ago
Extracting Semantic Annotations from Moodle Data
The purpose of this paper is to provide a solution which allows automatic reasoning processes over Moodle activities logs, in order to obtain user-personalized recommendations. Act...
Mihai Gabroveanu, Ion-Mircea Diaconescu
120
Voted
COLT
2005
Springer
15 years 8 months ago
Analysis of Perceptron-Based Active Learning
We start by showing that in an active learning setting, the Perceptron algorithm needs Ω( 1 ε2 ) labels to learn linear separators within generalization error ε. We then prese...
Sanjoy Dasgupta, Adam Tauman Kalai, Claire Montele...
94
Voted
C5
2003
IEEE
15 years 8 months ago
Initial Experiences of ALAN-K: An Advanced LeArning Network in Kyoto
This paper describes the start-up phase of the ALAN-K (Advanced LeArning Network in Kyoto) project, which is part of a major effort to create new learning environments for element...
Shin'ichi Konomi, Hiroki Karuno