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TASLP
2010
144views more  TASLP 2010»
13 years 3 months ago
Active Learning With Sampling by Uncertainty and Density for Data Annotations
To solve the knowledge bottleneck problem, active learning has been widely used for its ability to automatically select the most informative unlabeled examples for human annotation...
Jingbo Zhu, Huizhen Wang, Benjamin K. Tsou, Matthe...
ACISICIS
2010
IEEE
13 years 10 months ago
User-Model-Based Evaluation for Interactive Image Retrieval
Abstract--User-system interaction is sometimes a cumbersome element of non-textual information access. Image retrieval systems now incorporate various interaction mechanisms. Howev...
Masashi Inoue, Manh Hong Nguyen
ISBI
2008
IEEE
14 years 9 months ago
Mutual information-based feature selection enhances fMRI brain activity classification
In this paper, we adress the question of decoding cognitive information from functional Magnetic Resonance (MR) images using classification techniques. The main bottleneck for acc...
Bertrand Thirion, Cécilia Damon, Vincent Mi...
ECIS
2000
13 years 10 months ago
Maximizing Information Liquidity in Electronic Commerce
The emerging bottleneck in electronic commerce is that of converting vast amounts of customer behavior data into useful information. We view this as a problem of maximizing informa...
Vasant Dhar, Arun Sundararajan
JAIR
2008
118views more  JAIR 2008»
13 years 8 months ago
On the Use of Automatically Acquired Examples for All-Nouns Word Sense Disambiguation
This article focuses on Word Sense Disambiguation (WSD), which is a Natural Language Processing task that is thought to be important for many Language Technology applications, suc...
David Martínez, Oier Lopez de Lacalle, Enek...