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TASLP
2010
144views more  TASLP 2010»
13 years 2 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...
WWW
2007
ACM
14 years 8 months ago
Learning information diffusion process on the web
Many text documents on the Web are not originally created but forwarded or copied from other source documents. The phenomenon of document forwarding or transmission between variou...
Xiaojun Wan, Jianwu Yang
MMM
2010
Springer
230views Multimedia» more  MMM 2010»
14 years 4 months ago
Learning Landmarks by Exploiting Social Media
This paper introduces methods for automatic annotation of landmark photographs via learning textual tags and visual features of landmarks from landmark photographs that are appropr...
Chia-Kai Liang, Yu-Ting Hsieh, Tien-Jung Chuang, Y...
DEXAW
2007
IEEE
138views Database» more  DEXAW 2007»
14 years 1 months ago
Machine Learning for Question Answering from Tabular Data
Question Answering (QA) systems automatically answer natural language questions in a human-like manner. One of the practical approaches to open domain QA consists in extracting fa...
Mahboob Alam Khalid, Valentin Jijkoun, Maarten de ...
NIPS
2008
13 years 9 months ago
DiscLDA: Discriminative Learning for Dimensionality Reduction and Classification
Probabilistic topic models have become popular as methods for dimensionality reduction in collections of text documents or images. These models are usually treated as generative m...
Simon Lacoste-Julien, Fei Sha, Michael I. Jordan